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| Identification of formal languages - R. Wiehagen - 1977 |
| Identification of Pattern Languages from Examples and Queries - A. Marron and K. Ko - August 1987 |
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| Identifying $-decision trees and $-formulas with constrained instance queries - T. Hancock - 1989 |
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| Implementation of heuristic problem solving process including analogical reasoning - K. Ueda and S. Nagano - 1992 |
| Implementing Valiant’s Learnability Theory Using Random Sets - E. M. Oblow - 1992 |
| 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 |
| An improved algorithm for incremental induction of decision trees - Paul E. Utgoff - 1994 |
| An improved boosting algorithm and its implications on learning complexity - Y. Freund - 1992 |
| Improved Estimates for the Accuracy of Small Disjuncts - J. R. Quinlan - 1991 |
| Improved learning of AC^0 functions - M. L. Furst, J. C. Jackson and S. W. Smith - 1991 |
| Improved Sample Size Bounds for PAB-decisions - S. Pölt - 1994 |
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| Improving minority class prediction using case-specific feature weights - Claire Cardie and Nicholas Howe - 1997 |
| Improving Performance in Neural Networks Using a Boosting Algorithm - H. Drucker, R. Schapire and P. Simard - 1992 |
| Improving regressors using boosting techniques - Harris Drucker - 1997 |
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| In defense of C4.5: notes on learning one-level decision trees - Tapio Elomaa - 1994 |
| Inclusion problems in parallel learning and games - M. Kummer and F. Stephan - 1994 |
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| Incremental Induction of Decision Trees - Paul E. Utgoff - 1989 |
| An incremental learning approach for completable planning - Melinda T. Gervasio and Gerald F. DeJong - 1994 |
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| Incremental reduced error pruning - Johannes Fürnkranz and Gerhard Widmer - 1994 |
| Incrementally Learning Time-Varying Half-planes - T. P. Anthony Kuh and R. L. Rivest - 1992 |
| Indexing and Elaboration and Refinement: Incremental Learning of Explanatory Cases - Ashwin Ram - 1993 |
| Indexmengen und Erkennung Rekursiver Functionen - R. Klette - 1976 |
| Induction from the general to the more general - K. T. Kelly - 1989 |
| Induction in Noisy Domains - P. Clark and T. Niblett - May 1987 |
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| Induction of Decision Trees - J. R. Quinlan - 1986 |
| The Induction of Dynamical Recognizers - Jordan B. Pollack - 1991 |
| Induction of probabilistic rules based on rough set theory - S. Tsumoto and H. Tanaka - 1993 |
| Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning - Raymond J. Mooney - 1993 |
| Induction, Pure and Simple - P. Kugel - 1977 |
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| 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 - D. Angluin and C. Smith - 1987 |
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| Inductive Inference and Unsolvability - L. Adleman and M. Blum - 1991 |
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| Inductive inference by refinement - P. Laird - 1986 |
| Inductive Inference, DFAs, and Computational Complexity - L. Pitt - October 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 is powerful - T. Shinohara - 1990 |
| Inductive Inference from Theory Laden Data - K. T. Kelly and C. Glymour - October 1989 |
| Inductive Inference Hierarchies: Probabilistic vs Pluralistic - R. P. Daley - 1986 |
| Inductive inference machines that can refute hypothesis spaces - Y. Mukouchi and S. Arikawa - 1993 |
| Inductive inference of almost everywhere correct programs by reliably working strategies - E. B. Kinber and T. Zeugmann - 1985 |
| Inductive Inference of approximations - J. Royer - 1986 |
| Inductive Inference of Automata, Functions and Programs - J. M. Barzdin - 1977 |
| Inductive Inference of Formal Languages from Positive Data - D. Angluin - May 1980 |
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| Inductive inference of logic programs based on algebraic semantics - Y. Sakakibara - 1987 |
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| Inductive inference of monogenic pure context-free languages - N. Tanida and T. Yokomori - 1994 |
| Inductive Inference of Monotonic Formal Systems From Positive Data - T. Shinohara - 1991 |
| Inductive Inference of Optimal Programs: A Survey and Open Problems - T. Zeugmann - 1990 |
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| Inductive inference theory - a unified approach to problems in pattern recognition and artificial intelligence - R. J. Solomonoff - 1975 |
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| An inductive learning approach to prognostic prediction - W. Nick Street, O. L. Mangasarian and W. H. Wolberg - 1995 |
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| Inductive Logic Programming - S. Muggleton - 1991 |
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| 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 |
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| 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 |
| Inference and minimization of hidden Markov chains - D. Gillman and M. Sipser - 1994 |
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| Inference of a rule by a neural network with thermal noise - G. Gyorgyi - 1990 |
| 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 functions with an interactive system - J. P. Jouannaud and G. Guiho - 1979 |
| 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 - D. Angluin - July 1982 |
| Inference of sequential machines from sample computations - L. P. J. Veelenturf - 1978 |
| Inference of skeletal automata - L. Fass - 1984 |
| 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 abstract - John Kececioglu, Ming Li and John Tromp - 1995 |
| Inferring a Tree from Walks - O. Maruyama and S. Miyano - December 1991 |
| Inferring Answers to Queries - William I. Gasarch and Andrew C. Y. Lee - 1997 |
| Inferring Decision Trees Using the Minimum Description Length Principle - J. R. Quinlan and R. L. Rivest - March 1989 |
| Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning - Thomas Dean et al. - 1995 |
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| Inferring Parsers of Context Free Languages from Structural Examples - Y. Sakakibara - 1987 |
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| 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 - S. Amari - 1994 |
| An Information Measure for Classification - C. S. Wallace and D. M. Boulton - 1968 |
| Information theory in probability, statistics, learning, and neural nets - Andrew R. Barron - 1997 |
| Information-Based Evaluation Criterion for Classifier’s Performance - Igor Kononenko and Ivan Bratko - 1991 |
| Information-theoretical aspects of inductive and deductive inference - S. Watanabe - 1960 |
| Informed parsimonious inference of prototypical genetic sequences - A. Milosavljevi’c, D. Haussler and J. Jurka - 1989 |
| Ingnoring Data may be the only Way to Learn Efficiently - R. Wiehagen and T. Zeugmann - 1994 |
| Instance pruning techniques - D. Randall Wilson and Tony R. Martinez - 1997 |
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| Instance-based utile distinctions for reinforcement learning with hidden state - R. Andrew McCallum - 1995 |
| An Integrated Framework for Empirical Discovery - Bernd Nordhausen and Pat Langley - 1993 |
| Integrating feature construction with multiple classifiers in decision tree induction - Ricardo Vilalta and Larry Rendell - 1997 |
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| 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 |
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| Introduction - Leslie Pack Kaelbling - 1996 |
| Introduction - Jude Shavlik, Lawrence Hunter and David Searls - 1995 |
| Introduction - David S. Touretzky - 1991 |
| Introduction - Judy A. Franklin, Tom M. Mitchell and Sebastian Thrun - 1996 |
| 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 |
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| 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 |
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| 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 |
| Investigating the distribution assumptions in the PAC learning model - P. L. Bartlett and R. C. Williamson - 1991 |
| Irrelevant features and the subset selection problem - George H. John, Ron Kohavi and Karl Pfleger - 1994 |
| Is the pocket algorithm optimal? - Marco Muselli - 1995 |
| Iterative weighted least squares algorithms for neural networks classifiers - T. Kurita - 1992 |