| **IDDD: An Inductive, Domain Dependent Decision Algorithm.** - *L. Gaga, V. Moustakis, G. Charissis and S. Orphanoudakis* - 1993 |

| **Ideal Concepts, Intuitions, and Mathematical Knowledge Acquisitions in Husserl and Hilbert** - *Mitsuhiro Okada* - 2001 |

| **Ideal learning machines** - *D. Osherson, M. Stob and S. Weinstein* - 1982 |

| **Ideal Theory Refinement under Object Identity** - *Floriana Esposito, Nicola Fanizzi, Stefano Ferilli and Giovanni Semeraro* - 2000 |

| **Identifiability of a Class of Transformational Grammars** - *H. Hamburger and K. Wexler* - 1973 |

| **Identifiability of Hidden Markov Information Sources and their Minimum Degrees of Freedom** - *H. Ito, S. Amari and K. Kobayashi* - March 1992 |

| **Identifiability of subspaces and homomorphic images of zero-reversible languages** - *Satoshi Kobayashi and Takashi Yokomori* - 1997 |

| **Identification in the Limit of First Order Structures** - *D. N. Osherson and S. Weinstein* - 1986 |

| **Identification in the Limit with Probability One of Stochastic Deterministic Finite Automata** - *Colin De La Higuera and Franck Thollard* - 2000 |

| **Identification of DFA: data-dependent vs data-independent algorithms** - *Colin De La Higuera, José Oncina and Enrique Vidal* - 1996 |

| **Identification of formal languages** - *R. Wiehagen* - 1977 |

| **Identification of Function Distinguishable Languages** - *Henning Fernau* - 2000 |

| **Identification of noisy linear systems with discrete random input** - *E. Gassiat and E. Gautherat* - 1998 |

| **Identification of Pattern Languages from Examples and Queries** - *A. Marron and K. Ko* - August 1987 |

| **Identification of Tree Translation Rules from Examples** - *Hiroshi Sakamoto, Hiroki Arimura and Setsuo Arikawa* - 2000 |

| **Identification of unions of languages drawn from an identifiable class** - *K. Wright* - 1989 |

| **Identifying and Using Patterns in Sequential Data** - *Philip Laird* - 1993 |

| **Identifying decision trees with equivalence queries** - *T. Hancock* - 1989 |

| **Identifying ***mu*-decision trees and *mu*-formulas with constrained instance queries - *T. Hancock* - 1989 |

| **Identifying ***mu*-formula decision trees with queries - *T. R. Hancock* - 1990 |

| **Identifying languages from stochastic examples** - *D. Angluin* - 1988 |

| **Identifying Mislabeled Training Data** - *C. E. Brodley and M. A. Friedl* - 1999 |

| **Identifying nearly minimal Gödel numbers from additional information** - *Rusins Freivalds, Ognian Botuscharov and Rolf Wiehagen* - 1998 |

| **Identifying Regular Languages over Partially-Commutative Monoids** - *Claudio Ferretti and Giancarlo Mauri* - 1994 |

| **Identifying the information contained in a flawed theory** - *Sean P. Engelson and Moshe Koppel* - 1996 |

| **Ignoring data may be the only way to learn efficiently** - *R. Wiehagen and T. Zeugmann* - 1994 |

| **Image Color Constancy Using EM and Cached Statistics** - *Charles Rosenberg* - 2000 |

| **Implementation Issues in the Fourier Transform Algorithm** - *Yishay Mansour and Sigal Sahar* - 2000 |

| **Implementation of heuristic problem solving process including analogical reasoning** - *Kazuhiro Ueda and Saburo Nagano* - 1993 |

| **Implementing Valiant's Learnability Theory Using Random Sets** - *E. M. Oblow* - 1992 |

| **Implicit imitation in multiagent reinforcement learning** - *Bob Price and Craig Boutilier* - 1999 |

| **Importance-based feature extraction for reinforcement learning** - *David J. Finton and Yu Hen Hu* - 1995 |

| **The Importance of Attribute Selection Measures in Decision Tree Induction** - *W. Z. Liu and A. P. White* - 1994 |

| **The importance of convexity in learning with squared loss** - *Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson* - 1996 |

| **Importance Sampling Techniques in Neural Detector Training** - *José Sanz-González and Diego Andina* - 2001 |

| **Imposing bounds on the number of categories for incremental concept formation** - *Leon Shklar and Haym Hirsh* - 1997 |

| **An improved algorithm for incremental induction of decision trees** - *Paul E. Utgoff* - 1994 |

| **Improved Algorithms for Theory Revision with Queries** - *Judy Goldsmith, Robert H. Sloan, B. Szörényi and G. Turán* - 2000 |

| **An improved boosting algorithm and its implications on learning complexity** - *Y. Freund* - 1992 |

| **Improved Boosting Algorithms Using Confidence-rated Predictions** - *Robert E. Schapire and Yoram Singer* - 1999 |

| **Improved bounds about on-line learning of smooth functions of a single variable** - *Philip M. Long* - 1996 |

| **Improved bounds about on-line learning of smooth-functions of a single variable,** - *Philip M. Long* - 2000 |

| **Improved Bounds on the Sample Complexity of Learning** - *Yi Li, Philip M. Long and Aravind Srinivasan* - 2001 |

| **Improved Estimates for the Accuracy of Small Disjuncts** - *J. R. Quinlan* - 1991 |

| **Improved Generalization Through Explicit Optimization of Margins** - *Llew Mason, Peter L. Bartlett and Jonathan Baxter* - 2000 |

| **Improved learning of AC**^{0} functions - *M. L. Furst, J. C. Jackson and S. W. Smith* - 1991 |

| **Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach** - *Claudio Gentile and David P. Helmbold* - May 2001 |

| **Improved lower bounds for learning from noisy examples: an information-theoretic approach** - *Claudio Gentile and David P. Helmbold* - 1998 |

| **An Improved On-line Algorithm for Learning Linear Evaluation Functions** - *Peter Auer* - 2000 |

| **An Improved Predictive Accuracy Bound for Averaging Classifiers** - *John Langford, Matthias Seeger and Nimrod Megiddo* - 2001 |

| **Improved Sample Size Bounds for PAB-decisions** - *S. Pölt* - 1994 |

| **Improve the Learning of Subsequential Transducers by Using Alignments and Dictionaries** - *Juan Miguel Vilar* - 2000 |

| **Improving accuracy of incorrect domain theories** - *L. Asker* - 1994 |

| **Improving Algorithms for Boosting** - *Javed A. Aslam* - 2000 |

| **Improving Example-Guided Unfolding** - *Henrik Boström* - 1993 |

| **Improving generalization with active learning** - *David Cohn, Les Atlas and Richard Ladner* - 1994 |

| **Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning** - *Javier Béjar* - 2000 |

| **Improving minority class prediction using case-specific feature weights** - *Claire Cardie and Nicholas Howe* - 1997 |

| **Improving model selection by dynamic regularization methods** - *Ferdinand Hergert, William Finnoff and Hans-Georg Zimmermann* - 1995 |

| **Improving Performance in Neural Networks Using a Boosting Algorithm** - *H. Drucker, R. Schapire and P. Simard* - 1992 |

| **Improving Probabilistic Grammatical Inference Core Algorithms with Post-Processing Techniques** - *Franck Thollard* - 2001 |

| **Improving regressors using boosting techniques** - *Harris Drucker* - 1997 |

| **Improving Short-Text Classification Using Unlabeled Background Knowledge to Assess Document Similarity** - *Sarah Zelikovitz and Haym Hirsh* - 2000 |

| **Improving support vector machine classifiers by modifying kernel functions** - *S. Amari and S. Wu* - 1999 |

| **Improving Term Extraction by System Combination Using Boosting** - *Jordi Vivaldi, Llu\'ıs Màrquez and Horacio Rodr\'ıguez* - 2001 |

| **Improving text classification by shrinkage in a hierarchy of classes** - *Andrew McCallum, Ronald Rosenfeld, Tom Mitchell and Andrew Y. Ng* - 1998 |

| **Improving the efficiency of knowledge base refinement** - *Leonardo Carbonara and Derek Sleeman* - 1996 |

| **Improving the Robustness and Encoding Complexity of Behavioural Clones** - *Rui Camacho and Pavel Brazdil* - 2001 |

| **Inclusion is Undecidable for Pattern Languages** - *Tao Jiang, Arto Salomaa, Kai Salomaa and Sheng Yu* - 1993 |

| **Inclusion problems in parallel learning and games** - *Martin Kummer and Frank Stephan* - 1996 |

| **Inclusion problems in parallel learning and games** - *M. Kummer and F. Stephan* - 1994 |

| **Incorporating hypothetical knowledge into the process of inductive synthesis** - *Jānis Bārzdiņš and Ugis Sarkans* - 1996 |

| **Incorporating prior knowledge into networks of locally-tuned units** - *Martin Röscheisen, Reimar Hoffman and Volker Tresp* - 1994 |

| **Increasing the performance and consistency of classification trees by using the accuracy criterion at the leaves** - *David J. Lubinsky* - 1995 |

| **Incremental abductive EBL** - *William W. Cohen* - 1994 |

| **An incremental concept formation approach for learning from databases** - *Robert Godin and Rokia Missaoui* - 1994 |

| **Incremental concept learning for bounded data mining** - *J. Case, S. Jain, S. Lange and T. Zeugmann* - 1999 |

| **An Incremental Deductive Strategy for Controlling Constructive Induction in Learning from Examples** - *Renée Elio and Larry Watanabe* - 1991 |

| **Incremental Induction of Decision Trees** - *Paul E. Utgoff* - 1989 |

| **An incremental interactive algorithm for grammar inference** - *Rajesh Parekh and Vasant Honavar* - 1996 |

| **An incremental learning approach for completable planning** - *Melinda T. Gervasio and Gerald F. DeJong* - 1994 |

| **Incremental Learning from Noisy Data** - *Jeffrey C. Schlimmer and Jr. Richard H. Granger* - 1986 |

| **Incremental Learning from Positive Data** - *S. Lange and T. Zeugmann* - 1996 |

| **Incremental Learning in SwiftFile** - *Richard B. Segal and Jeffrey O. Kephart* - 2000 |

| **Incremental learning of logic programs** - *M. R. K. Krishna Rao* - 1995 |

| **Incrementally Learning Time-Varying Half-planes** - *T. P. Anthony Kuh and R. L. Rivest* - 1992 |

| **Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems** - *Tobias Scheffer and Stefan Wrobel* - 2001 |

| **Incremental Multi-Step Q-Learning** - *Jing Peng and Ronald J. Williams* - 1996 |

| **Incremental reduced error pruning** - *Johannes Fürnkranz and Gerhard Widmer* - 1994 |

| **Incremental regular inference** - *Pierre Dupont* - 1996 |

| **In defense of C4.5: notes on learning one-level decision trees** - *Tapio Elomaa* - 1994 |

| **Indexing and Elaboration and Refinement: Incremental Learning of Explanatory Cases** - *Ashwin Ram* - 1993 |

| **Indexmengen und Erkennung Rekursiver Functionen** - *R. Klette* - 1976 |

| **Individual learning of coordination knowledge** - *Sandip Sen and Mahendra Sekaran* - 1998 |

| **Individual sequence prediction - upper bounds and application for complexity** - *Chamy Allenberg* - 1999 |

| **Inducing constraint grammars** - *Christer Samuelsson, Pasi Tapanainen and Atro Voutilainen* - 1996 |

| **Inducing Partially-Defined Instances with Evolutionary Algorithms** - *Xavier Llorà and Josep M. Garrell* - 2001 |

| **Inducing probabilistic grammars by Byasian model merging** - *A. Stolcke and S. Omohundro* - 1994 |

| **Induction by Enumeration** - *Eric Martin and Daniel Osherson* - November 2001 |

| **Induction from the general to the more general** - *K. T. Kelly* - 1989 |

| **Induction Inference of an Approximate Concept from Positive Data** - *Yasuhito Mukouchi* - 1994 |

| **Induction in Noisy Domains** - *P. Clark and T. Niblett* - May 1987 |

| **Induction of Concept Hierarchies from Noisy Data** - *Blaž Zupan, Ivan Bratko, Marko Bohanec and Janez Demšar* - 2000 |

| **Induction of constraint logic programs** - *Lionel Martin and Christel Vrain* - 1996 |

| **Induction of Decision Trees** - *J. R. Quinlan* - 1986 |

| **The Induction of Dynamical Recognizers** - *Jordan B. Pollack* - 1991 |

| **Induction of Logic Programs Based on ***psi*-Terms - *Yutaka Sasaki* - 1999 |

| **Induction of Probabilistic Rules Based on Rough Set Theory** - *Shusaka Tsumoto and Hiroshi Tanaka* - 1993 |

| **Induction of Qualitative Trees** - *Dorian Suc and Ivan Bratko* - 2001 |

| **Induction of Recursive Bayesian Classifiers** - *Pat Langley* - 1993 |

| **The Induction of Temporal Grammatical Rules from Multivariate Time Series** - *Gabriela Guimarães* - 2000 |

| **Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning** - *Raymond J. Mooney* - 1993 |

| **Induction, Pure and Simple** - *P. Kugel* - 1977 |

| **Inductive Constraint Logic** - *Luc De Raedt and Wim Van Laer* - 1995 |

| **Inductive identification of pattern languages with restricted substitutions** - *K. Wright* - 1990 |

| **Inductive inferability for formal languages from positive data** - *M. Sato and K. Umayahara* - 1992 |

| **Inductive Inference** - *Dana Angluin and Carl H. Smith* - 1987 |

| **Inductive inference: an abstract approach** - *J. C. Cherniavsky, M. Velauthapillai and R. Statman* - 1988 |

| **Inductive Inference and Computable One-one Numberings** - *R. Freivalds, E. B. Kinber and R. Wiehagen* - 1982 |

| **Inductive Inference and Unsolvability** - *Leonard M. Adleman and M. Blum* - 1991 |

| **An inductive inference appraoch to classification** - *R. Freivalds and A. Hoffmann* - 1994 |

| **An inductive inference bibliography** - *C. H. Smith* - 1979 |

| **Inductive inference by refinement** - *P. Laird* - 1986 |

| **Inductive inference, DFAs, and computational complexity** - *L. Pitt* - 1989 |

| **Inductive Inference From All Positive and Some Negative Data** - *T. Motoki* - 1992 |

| **Inductive Inference From Good Examples** - *R. Freivalds, E. B. Kinber and R. Wiehagen* - 1989 |

| **Inductive inference from positive data: from heuristic to characterizing methods** - *Timo Knuutila* - 1996 |

| **Inductive inference from positive data is powerful** - *T. Shinohara* - 1990 |

| **Inductive Inference from Theory Laden Data** - *K. T. Kelly and C. Glymour* - 1992 |

| **Inductive Inference Hierarchies: Probabilistic vs Pluralistic** - *R. P. Daley* - 1986 |

| **Inductive Inference Machines That Can Refute Hypothesis Spaces** - *Yasuhito Mukouchi and Setsuo Arikawa* - 1993 |

| **Inductive inference of almost everywhere correct programs by reliably working strategies** - *Efim B. Kinber and Thomas Zeugmann* - 1985 |

| **Inductive Inference of approximations** - *James S. Royer* - 1986 |

| **Inductive Inference of Automata, Functions and Programs** - *J. M. Barzdin* - 1977 |

| **Inductive Inference of Formal Languages** - *Masako Sato* - 1995 |

| **Inductive Inference of Formal Languages from Positive Data** - *D. Angluin* - May 1980 |

| **Inductive inference of formal languages from positive data enumerated primitive-recursively** - *A. Sakurai* - 1992 |

| **Inductive Inference of Functions From Noised Observations** - *J. Grabowski* - 1986 |

| **Inductive inference of functions on the rationals** - *Douglas A. Cenzer and William R. Moser* - 1995 |

| **Inductive inference of logic programs based on algebraic semantics** - *Y. Sakakibara* - 1987 |

| **Inductive inference of minimal programs** - *R. Freivalds* - 1990 |

| **Inductive Inference of Monogenic Pure Context-Free Languages** - *Noriyuki Tanida and Takashi Yokomori* - 1996 |

| **Inductive Inference of Monotonic Formal Systems From Positive Data** - *Takeshi Shinohara* - 1991 |

| **Inductive Inference of Optimal Programs: A Survey and Open Problems** - *T. Zeugmann* - 1990 |

| **Inductive Inference of Prolog Programs with linear dependency from positive data** - *H. Arimura and T. Shinohara* - 1994 |

| **Inductive Inference of Recurrence-Term Languages from Positive Data** - *Phil Watson* - 1995 |

| **Inductive inference of recursive concepts** - *Yasuhito Mukouchi* - 1994 |

| **Inductive inference of recursive functions** - *R. Wiehagen* - 1975 |

| **Inductive Inference of Theories From Facts** - *E. Y. Shapiro* - February 1981 |

| **Inductive inference of unbounded unions of pattern languages from positive data** - *Takeshi Shinohara and Hiroki Arimura* - 2000 |

| **Inductive inference theory - a unified approach to problems in pattern recognition and artificial intelligence** - *R. J. Solomonoff* - 1975 |

| **Inductive inference with additional information** - *R. V. Freivalds and R. Wiehagen* - 1979 |

| **Inductive inference with bounded mind changes** - *Yasuhito Mukouchi* - 1993 |

| **Inductive inference with bounded number of mind changes** - *M. Velauthapillai* - 1989 |

| **Inductive Inference with Procrastination: Back to Definitions** - *Andris Ambainis, Rusins Freivalds and Carl H. Smith* - 1999 |

| **An inductive learning approach to prognostic prediction** - *W. Nick Street, O. L. Mangasarian and W. H. Wolberg* - 1995 |

| **Inductive learning of reactive action models** - *Scott Benson* - 1995 |

| **Inductive Learning with Corroboration** - *Phil Watson* - 1999 |

| **Inductive Logic Programming** - *S. Muggleton* - 1991 |

| **Inductive logic programming beyond logical implication** - *Jianguo Lu and Jun Arima* - 1996 |

| **Inductive Logic Programming: Derivations, Successes and Shortcomings** - *Stephen Muggleton* - 1993 |

| **Inductive logic programming for discrete event systems** - *David Lorenzo* - 1996 |

| **Inductive Logic Programming: From Logic of Discovery to Machine Learning** - *Hiroki Arimura and Akihiro Yamamoto* - 2000 |

| **Inductive machines and the problem of learning** - *F. H. George* - 1959 |

| **Inductive Policy: The Pragmatics of Bias Selection** - *John Foster Provost and Bruce G. Buchanan* - 1995 |

| **Inductive Principles of the Search for Empirical Dependences (Methods Based on Weak Convergence of Probability Measures)** - *V. N. Vapnik* - August 1989 |

| **Inductive Program Synthesis for Therapy Plan Generation** - *O. Arnold and K. P. Jantke* - 1997 |

| **Inductive reasoning and Kolmogorov complexity** - *M. Li and P. Vitanyi* - 1992 |

| **Inductive Resolution** - *Taisuke Sato and Sumitaka Akiba* - 1993 |

| **Inductive Rule Generation in the Context of the Fifth Generation** - *D. Michie* - June 1983 |

| **Inductive Syntactical Synthesis of Programs From Sample Computations** - *E. B. Kinber* - 1988 |

| **Inductive Synthesis of Recursive Processes from Logical Properties** - *Shigetomo Kimura, Atsushi Togashi and Norio Shiratori* - December 2000 |

| **Inductive Synthesis of Rewrite Programs** - *Ulf Goldammer* - 1995 |

| **Inductive Thermodynamics from Time Series Data Analysis** - *Hiroshi H. Hasegawa, Takashi Washio and Yukari Ishimiya* - 2001 |

| **Inferability of recursive real-valued functions** - *Eiju Hirowatari and Setsuo Arikawa* - 1997 |

| **Inference and minimization of hidden Markov chains** - *D. Gillman and M. Sipser* - 1994 |

| **Inference for Regular Bilanguages** - *J. Berger and C. Pair* - 1978 |

| **Inference of a rule by a neural network with thermal noise** - *G. Gyorgyi* - 1990 |

| **Inference of context-free grammars by enumeration: Structural containment as an ordering bias** - *J. Y. Giordano* - 1994 |

| **Inference of Finite Automata using Homing Sequences** - *R. L. Rivest and R. E. Schapire* - April 1993 |

| **Inference of finite-state probabilistic grammars** - *F. J. Maryanski and T. L. Booth* - 1977 |

| **Inference of Finite-State Transducers by Using Regular Grammars and Morphisms** - *F. Casacuberta* - 2000 |

| **Inference of functions with an interactive system** - *J. P. Jouannaud and G. Guiho* - 1979 |

| **Inference of ***omega*-Languages from Prefixes - *Colin de la Higuera and Jean-Christophe Janodet* - 2001 |

| **Inference of LISP Programs from Examples** - *R. T. Adams* - June 1990 |

| **The inference of regular LISP programs from examples** - *A. W. Biermann* - 1978 |

| **Inference of Reversible Languages** - *Dana Angluin* - July 1982 |

| **Inference of sequential machines from sample computations** - *L. P. J. Veelenturf* - 1978 |

| **Inference of skeletal automata** - *L. Fass* - 1984 |

| **The inference of tree languages from finite samples: an algebraic approach** - *Timo Knuutila and Magnus Steinby* - 1994 |

| **Inference of visible simple assignment automata with planned experiments** - *R. Rivest and R. Schapire* - 1987 |

| **Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning** - *Ryszard S. Michalski* - 1993 |

| **The Inferential Use of Predictive Distributions** - *S. Geisser* - 1970 |

| **Inferno: A Cautious Approach to Uncertain Inference** - *J. R. Quinlan* - 1983 |

| **Inferring a DNA sequence from erroneous copies** - *John Kececioglu, Ming Li and John Tromp* - 1997 |

| **Inferring Answers to Queries** - *William I. Gasarch and Andrew C. Y. Lee* - 1997 |

| **Inferring a Rewriting System from Examples** - *Yasuhito Mukouchi, Ikuyo Yamue and Masako Sato* - 1998 |

| **Inferring a system from examples with time passage** - *Yasuhito Mukouchi* - 1997 |

| **Inferring a Tree from Walks** - *O. Maruyama and S. Miyano* - December 1991 |

| **Inferring a Tree from Walks** - *Osamu Maruyama and Satoru Miyano* - 1996 |

| **Inferring Decision Trees Using the Minimum Description Length Principle** - *J. R. Quinlan and R. L. Rivest* - March 1989 |

| **Inferring Deterministic Linear Languages** - *Colin de la Higuera and Jose Oncina* - 2002 |

| **Inferring finite automata with stochastic output functions and an application to map learning** - *Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis and Oded Maron* - 1995 |

| **Inferring grammars by means of profiles: a unifying view** - *S. Crespi-Reghizzi and D. Mandrioli* - 1980 |

| **Inferring graphs from walks** - *J. A. Aslam and R. L. Rivest* - 1990 |

| **Inferring Graphs from Walks** - *J. A. Aslam* - January 1992 |

| **Inferring LISP programs from example problems** - *D S. W. Shaw and C. Green* - 1975 |

| **Inferring parsers of context-free languages from structural examples** - *Y. Sakakibara* - 1987 |

| **Inferring Parsers of Context Free Languages from Structural Examples** - *Y. Sakakibara* - 1987 |

| **Inferring reduced ordered decision graphs of minimum decision length** - *Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli* - 1995 |

| **Inferring regular languages in polynomial update time** - *J. Oncina and P. Garcia* - 1992 |

| **Inferring stochastic regular grammars with recurrent neural networks** - *Rafael C. Carrasco, Mikel L. Forcada and Laureano Santamar\'ıa* - 1996 |

| **Inferring Subclasses of Contextual Languages** - *J. D. Emerald, K. G. Subramanian and D. G. Thomas* - 2000 |

| **Inferring the structure of a Markov chain from its output** - *S. Rudich* - October 1985 |

| **Inferring Unions of two Pattern Languages** - *Takeshi Shinohara* - 1983 |

| **Infinitary Self-Reference in Learning Theory** - *J. Case* - 1994 |

| **An Infinite Class of Functions Identifiable Using Minimal Programs in all Kolmogorov Numberings** - *Sanjay Jain* - 1995 |

| **Infinite-Horizon Policy-Gradient Estimation** - *J. Baxter and P. L. Bartlett* - 2001 |

| **Information-Based Evaluation Criterion for Classifier's Performance** - *Igor Kononenko and Ivan Bratko* - 1991 |

| **Information bounds for the risk of Bayesian predictions and the redundancy of universal codes** - *A. Barron, B. Clarke and D. Haussler* - January 1993 |

| **Information Filtering: Selection Mechanisms in Learning Systems** - *Shaul Markovitch and Paul D. Scott* - 1993 |

| **Information Geometry of the EM and em Algorithms for Neural Networks** - *Shun-ichi Amari* - 1995 |

| **An Information Measure for Classification** - *C. S. Wallace and D. M. Boulton* - 1968 |

| **Information-theoretical aspects of inductive and deductive inference** - *S. Watanabe* - 1960 |

| **An information-theoretic definition of similarity** - *Dekang Lin* - 1998 |

| **Information theory in probability, statistics, learning, and neural nets** - *Andrew R. Barron* - 1997 |

| **Informed parsimonious inference of prototypical genetic sequences** - *A. Milosavljevi'c, D. Haussler and J. Jurka* - 1989 |

| **Initializing neural networks using decision trees** - *Arunava Banerji* - 1997 |

| **An Initial Study of an Adaptive Hierarchical Vision System** - *Marcus A. Maloof* - 2000 |

| **In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules** - *Einoshin Suzuki* - 2001 |

| **In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project** - *Gerhard Widmer* - 2002 |

| **Instance-Based Learning Algorithms** - *David W. Aha, Dennis Kibler and Marc K. Albert* - 1991 |

| **Instance-based utile distinctions for reinforcement learning with hidden state** - *R. Andrew McCallum* - 1995 |

| **Instance-family abstraction in memory-based language learning** - *Antal van den Bosch* - 1999 |

| **Instance Pruning as an Information Preserving Problem** - *Marc Sebban and Richard Nock* - 2000 |

| **Instance pruning techniques** - *D. Randall Wilson and Tony R. Martinez* - 1997 |

| **An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control: The Advantages of Indexed Partitioning** - *Dean F. Hougen, Maria Gini and James Slagle* - 2000 |

| **An Integrated Framework for Empirical Discovery** - *Bernd Nordhausen and Pat Langley* - 1993 |

| **Integrating case-based learning and cognitive biases for machine learning of natural language** - *Claire Cardie* - 1999 |

| **Integrating feature construction with multiple classifiers in decision tree induction** - *Ricardo Vilalta and Larry Rendell* - 1997 |

| **Integrating Feature Extraction and Memory Search** - *Christopher Owens* - 1993 |

| **Integrating Models of Knowledge and Machine Learning** - *Jean-Gabriel Ganascia, J. Thomas and Philippe Laublet* - 1993 |

| **Integrating Quantitative and Qualitative Discovery: The ABACUS System** - *Brian C. Falkenhainer and Ryszard S. Michalski* - 1986 |

| **An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts** - *Jianping Zhang and Ryszard S. Michalski* - 1995 |

| **Interactive Concept-Learning and Constructive Induction by Analogy** - *Luc De Raedt and Maurice Bruynooghe* - 1992 |

| **An interactive knowledge transfer model and analysis of Mastermind game** - *K. Koyama and T. Lai* - 1992 |

| **An interference matching technique for inducing abstractions** - *F. Hayes-Roth and J. McDermott* - 1978 |

| **Intra-option learning about temporally abstract actions** - *Richard S. Sutton, Doina Precup and Satinder Singh* - 1998 |

| **The intrinsic complexity of language identification** - *Sanjay Jain and Arun Sharma* - 1996 |

| **Intrinsic Complexity of Learning Geometrical Concepts from Positive Data** - *Sanjay Jain and Efim Kinber* - 2001 |

| **Introducing statistical dependencies and structural constraints in variable-length sequence models** - *Sabine Deligne, François Yvon and Frédéric Bimbot* - 1996 |

| **Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT'97** - *John Shawe-Taylor* - 1999 |

| **Introduction** - *Vasant Honavar and Colin de la Higuera* - 2001 |

| **Introduction** - *Judy A. Franklin, Tom M. Mitchell and Sebastian Thrun* - 1996 |

| **Introduction** - *Leslie Pack Kaelbling* - 1996 |

| **Introduction** - *David S. Touretzky* - 1991 |

| **Introduction** - *Satinder Singh* - 2002 |

| **Introduction** - *Jude Shavlik, Lawrence Hunter and David Searls* - 1995 |

| **Introduction: Cognitive Autonomy in Machine Discovery** - *Jan M. Żytkow* - 1993 |

| **Introduction: Special Issue on Computational Learning Theory** - *Leonard Pitt* - 1990 |

| **Introduction Structured Connectionist Systems** - *Alex Waibel* - 1994 |

| **Introduction to Algorithms** - *T. H. Cormen, C. E. Leiserson and R. L. Rivest* - 1990 |

| **An Introduction to Computational Learning Theory** - *Michael J. Kearns and Umesh V. Vazirani* - 1994 |

| **An Introduction to Computing with Neural Nets** - *R. P. Lippmann* - April 1987 |

| **An Introduction to Hidden Markov Models** - *L. R. Rabiner and B. H. Juang* - January 1986 |

| **An Introduction to Kolmogorov Complexity and Its Applications** - *M. Li and P. Vitányi* - 1993 |

| **An Introduction to Probability and its Applications** - *W. Feller* - 1971 |

| **An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods** - *Nello Cristianini and John Shawe-Taylor* - 2000 |

| **Introduction to the Abstracts of the Invited Talks Presented at ML92 Conference in Aberdeen, 1-3 July 1992** - *D. Sleeman* - 1994 |

| **An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition** - *S. E. Levinson, L. R. Rabiner and M. M. Sondhi* - April 1983 |

| **An Introduction to Variational Methods for Graphical Models** - *Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola and Lawrence K. Saul* - 1999 |

| **Inventing Discovery Tools: Combining Information Visualization with Data Mining** - *Ben Shneiderman* - 2001 |

| **An Inverse Limit of Context-Free Grammars - A New Approach to Identifiability in the Limit** - *Pavel Martinek* - 2000 |

| **Investigating the distribution assumptions in the PAC learning model** - *P. L. Bartlett and R. C. Williamson* - 1991 |

| **Investigating the value of a good input representation** - *Mark W. Craven and Jude W. Shavlik* - 1995 |

| **Investigation and Reduction of Discretization Variance in Decision Tree Induction** - *Pierre Geurts and Louis Wehenkel* - 2000 |

| **An investigation of transformation-based learning in discourse** - *Ken Samuel, Sandra Carberry and K. Vijay-Shanker* - 1998 |

| **Investigations on Measure-one Identification of Classes of Languages** - *Franco Montagna* - 1998 |

| **Irrelevant features and the subset selection problem** - *George H. John, Ron Kohavi and Karl Pfleger* - 1994 |

| **Is the pocket algorithm optimal?** - *Marco Muselli* - 1995 |

| **Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control** - *Mark Brodie and Gerald DeJong* - 2001 |

| **Iterated Transductions and Efficient Learning from Positive Data: A Unifying View** - *Satoshi Kobayashi* - 2000 |

| **An Iterative and Bottom-up Procedure for Proving-by-Example** - *Masami Hagiya* - 1993 |

| **Iterative Double Clustering for Unsupervised and Semi-supervised Learning** - *Ran El-Yaniv and Oren Souroujon* - 2001 |

| **Iterative weighted least squares algorithms for neural networks classifiers** - *Takio Kurita* - 1993 |

| *varepsilon*-approximations of k-label spaces - *Susumu Hasegawa, Hiroshi Imai and Masaki Ishiguro* - 1995 |