| **Data as Ensembles of Records: Representation and Comparison** - *Nicholas R. Howe* - 2000 |

| **Data Compression Method Combining Properties of PPM and CTW** - *Takumi Okazaki, Kunihiko Sadakane and Hiroshi Imai* - 2001 |

| **Data-Dependent Margin-Based Generalization Bounds for Classification** - *Balázs Kégl, Tamás Linder and Gabor Lugosi* - 2001 |

| **A data dependent skeleton estimate for learning** - *Gábor Lugosi and Márta Pintér* - 1996 |

| **The Data Driven Approach Applied to the OSTIA Algorithm** - *José Oncina* - 1998 |

| **Data-driven inductive inference of finite-state automata** - *J. Gregor* - 1994 |

| **Data mining and machine learning (abstract)** - *Heikki Mannila* - 1996 |

| **Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data** - *Bon K. Sy and Arjun K. Gupta* - 2001 |

| **Data Mining with Graphical Models** - *Rudolf Kruse and Christian Borgelt* - 2002 |

| **Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data** - *Terran Lane and Carla E. Brodley* - 2000 |

| **Debugging a DAG Efficiently** - *D. Angluin* - 1987 |

| **Deciding the Vapnik-Cervonenkis dimension is ***Sigma*^{p}_{3}-complete - *M. Schaefer* - 1999 |

| **Decision Region Connectivity Analysis: A Method for Analyzing High-Dimensional Classifiers** - *Ofer Melnik* - 2002 |

| **A Decision-Theoretic Extension of Stochcastic Complexity and Its Applications to Learning** - *Kenji Yamanishi* - 1998 |

| **A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting** - *Yoav Freund and Robert E. Schapire:* - 1997 |

| **Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications** - *D. Haussler* - September 1992 |

| **Decision Tree Approximations of Boolean Functions** - *Dinesh Mehta and Vijay Raghavan* - 2000 |

| **Decision tree induction based on efficient tree restructuring** - *Paul E. Utgoff, Neil C. Berkman and Jeffery A. Clouse* - 1997 |

| **A Decision-Tree Model of Balance Scale Development** - *William C. Schmidt and Charles X. Ling* - 1996 |

| **Decision Tree Pruning as a Search in the State Spac** - *Floriana Esposito, Donato Malerba and Giovanni Semeraro* - 1993 |

| **Decision Trees: Old and New Results** - *R. Fleischer* - 1999 |

| **Declarative Bias for Specific-to-General ILP Systems** - *Hilde Adé, Luc De Raedt and Maurice Bruynooghe* - 1995 |

| **Declarative bias in equation discovery** - *Ljupčo Todorovski and Sašo Džeroski* - 1997 |

| **A Decomposition Based Induction Model for Discovering Concept Clusters from Databases** - *Ning Zhong and Setsuo Ohsuga* - 1993 |

| **Deductive learning** - *L. Valiant* - 1984 |

| **Deductive Plan Generation** - *Wolfgang Bibel and Michael Thielscher* - 1994 |

| **Defining the limits of analogical planning** - *Diane J. Cook* - 1994 |

| **The Degenerate Science of Machine Learning** - *Bat Gangly* - 2000 |

| **Degrees of inferability** - *P. Cholak, R. Downey, L. Fortnow, W. Gasarch, E. Kinber, M. Kummer, S. Kurtz and T. Slaman* - 1992 |

| **Delaying the choice of bias: a disjunctive version space approach** - *Michele Sebag* - 1996 |

| **Dense shattering and teaching dimensions for differentiable families** - *A. Kowalczyk* - 1997 |

| **Densité et Dimension** - *P. Assouad* - 1983 |

| **Derandomized learning of Boolean functions** - *Meera Sitharam and Timothy Straney* - 1997 |

| **Derandomizing Stochastic Prediction Strategies** - *V. G. Vovk* - 1999 |

| **Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization** - *Manuela M. Veloso and Jaime G. Carbonell* - 1993 |

| **Derivatives of tree sets with applications to grammatical inference** - *B. Levine* - 1981 |

| **Derived Sets and Inductive Inference** - *Kalvis Aps\=ıtis* - 1994 |

| **The Design and Analysis of Efficient Learning Algorithms** - *R. E. Schapire* - 1992 |

| **Design Aspects of Discovery Systems** - *Osamu Maruyama and Satoru Miyano* - 2000 |

| **Design issues for exemplary programming** - *D. A. Waterman, William S. Faugh, Philip Klahr, Stanley J. Rosenschein and Robert Wesson* - 1980 |

| **Design Methods for Scientific Hypothesis Formation and Their Application to Molecular Biology** - *Peter D. Karp* - 1993 |

| **The Design of Discrimination Experiments** - *Shankar A. Rajamoney* - 1993 |

| **Detecting Concept Drift with Support Vector Machines** - *Ralf Klinkenberg and Thorsten Joachims* - 2000 |

| **Detecting motifs from sequences** - *Yuh-Jyh Hu, Suzanne Sandmeyer and Dennis Kibler* - 1999 |

| **Detecting structure in small datasets by network fitting under complexity constraints** - *W. Finnoff and H. G. Zimmermann* - 1994 |

| **Determinate Literals in Inductive Logic Programming** - *J. R. Quinlan* - 1991 |

| **Determining Arguments of Invariant Functional Descriptions** - *Mieczyslaw M. Kokar* - 1986 |

| **Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space** - *G. E. Hinton* - 1989 |

| **DEXTER: A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration** - *D. M. Cohen, C. Kulikowski and H. Berman* - 1995 |

| **A Dichotomy Theorem for Learning Quantified Boolean Formulas** - *Victor Dalmau* - 1999 |

| **Dimensionality Reduction through Sub-space Mapping for Nearest Neighbor Algorithms** - *Terry R. Payne and Peter Edwards* - 2000 |

| **Dimension Reduction Techniques for Training Polynomial Networks** - *William M. Campbell, Kari Torkkola and Sreeram V. Balakrishnan* - 2000 |

| **Direct and indirect algorithms for on-line learning of disjunctions** - *D. P. Helmbold, S. Panizza and M. K. Warmuth* - 2002 |

| **Direct and Indirect Algorithms or On-line Learning of Disjunctions** - *David P. Helmbold, Sandra Panizza and Manfred K. Warmuth* - 1999 |

| **Direct Bayes Point Machines** - *Matthias Rychetsky, John Shawe-Taylor and Manfred Glesner* - 2000 |

| **Directed drift: A new linear threshold algorithm for learning binary weights on-line** - *Santosh S. Venkatesh* - 1993 |

| **Direct Policy Search Using Paired Statistical Tests** - *Malcolm J. A. Strens and Andrew W. Moore* - 2001 |

| **A disagreement count scheme for inference of constrained Markov networks** - *J. Gregor and Michael G. Thomason* - 1996 |

| **Disciple-COA: From Agent Programming to Agent Teaching** - *Mihai Boicu, Gheorghe Tecuci, Dorin Marcu, Michael Bowman, Ping Shyr, Florin Ciucu and Cristian Levcovici* - 2000 |

| **A discipline of evolutionary programming** - *Paul Vitányi* - 2000 |

| **Discovering Admissible Simultaneous Equation Models from Observed Data** - *Takashi Washio, Hiroshi Motoda and Yuji Niwa* - 2001 |

| **Discovering Communicable Scientific Knowledge from Spatio-Temporal Data** - *Mark Schwabacher and Pat Langley* - 2001 |

| **Discovering Dependencies via Algorithmic Mutual Information: A Case Study in DNA Sequence Comparisons** - *Aleksandar Milosavljevic* - 1995 |

| **Discovering Homogeneous Regions in Spatial Data through Competition** - *Slobodan Vucetic and Zoran Obradovic* - 2000 |

| **Discovering Knowledge from Graph Structured Data by Using Refutably Inductive Inference of Formal Graph Systems** - *Tetsuhiro Miyahara, Tomoyuki Uchida, Takayoshi Shoudai Tetsuji Kuboyama, Kenichi Takahashi and Hiroaki Ueda* - 2001 |

| **Discovering Mechanisms: A Computational Philosophy of Science Perspective** - *Lindley Darden* - 2001 |

| **Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods** - *Miroslav Kubat, Doris Flotzinger and Gert Pfurtscheller* - 1993 |

| **Discovering patterns in sequences of events** - *T. G. Dietterich and R. S. Michalski* - 1985 |

| **Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables** - *Ryohei Nakano and Kazumi Saito* - 2001 |

| **Discovering solutions with low Kolmogorov complexity and high generalization capability** - *Jürgen Schmidhuber* - 1995 |

| **Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy** - *Gerhard Widmer* - 2001 |

| **Discovering structure in multiple learning tasks: the TC algorithm** - *Sebastian Thrun and Joseph O'Sullivan* - 1996 |

| **Discovering Test Set Regularities in Relational Domains** - *Seán Slattery and Tom Mitchell* - 2000 |

| **Discovering the Structure of a Reactive Environment by Exploration** - *M. C. Mozer and J. Bachrach* - November 1989 |

| **Discovering the Structure of Partial Differential Equations from Example Behavior** - *Ljupčo Todorovski, Sašo Džeroski, Ashwin Srinivasan, Jonathan Whiteley and David Gavaghan* - 2000 |

| **Discovering Unbounded Unions of Regular Pattern Languages from Positive Examples (Extended Abstract)** - *Alvis Brāzma, Esko Ukkonen and Jaak Vilo* - 1996 |

| **Discovery and Deduction** - *Masami Hagiya and Koichi Takahashi* - 2000 |

| **Discovery as Autonomous Learning from the Environment** - *Wei-Min Shen* - 1993 |

| **Discovery by Minimal Length Encoding: A Case Study in Molecular Evolution** - *Aleksandar Milosavljević and Jerzy Jurka* - 1993 |

| **Discovery learning in intelligent tutoring systems** - *Setsuo Otsuki* - 1993 |

| **The Discovery of Algorithmic Probability** - *Ray J. Solomonoff* - 1997 |

| **Discovery of Chances Underlying Real Data** - *Yukio Ohsawa* - 2001 |

| **Discovery of Definition Patterns by Compressing Dictionary Sentences** - *Masatoshi Tsuchiya, Sadao Kurohashi and Satoshi Sato* - 2001 |

| **Discovery of Differential Equations from Numerical Data** - *K. Niijima, H. Uchida, E. Hirowatari and S. Arikawa* - 1998 |

| **Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets** - *Shusaku Tsumoto* - 2001 |

| **The Discovery Science Project in Japan** - *Setsuo Arikawa* - 2001 |

| **Discovery Science, Third International Conference, DS 2000, Kyoto, Japan, December 2000, Proceedings** - *Setsuo Arikawa and Shinichi Morishita* - 2000 |

| **A discrete model of semantic learning** - *P. A. Flanagan* - 1981 |

| **Discrete Prediction Games with Arbitrary Feedback and Loss** - *Antonio Piccolboni and Christian Schindelhauer* - 2001 |

| **Discrete Sequence Prediction and Its Applications** - *Philip Laird and Ronald Saul* - 1994 |

| **Discrete sequence prediction with commented Markov models** - *Reinhard Blasig* - 1996 |

| **Discretizing continuous attributes while learning Bayesian neworks** - *Nir Friedman and Moises Goldszmidt* - 1996 |

| **Discriminant trees** - *João Gama* - 1999 |

| **Discrimination-Based Constructive Induction of Logic Programs** - *Boonserm Kijsirikul, Masayuki Numao and Masamichi Shimura* - 1992 |

| **The discriminative power of a dynamical model neuron** - *Anthony M. Zador and Barak A. Pearlmutter* - 1997 |

| **Discriminative Reranking for Natural Language Parsing** - *Michael Collins* - 2000 |

| **The Disjunctive Learning Problem** - *M. Fulk* - 1986 |

| **A Distance-Based Attribute Selection Measure for Decision Tree Induction** - *R. López De Mántaras* - 1991 |

| **Distilling reliable information from unreliable theories** - *Sean P. Engelson and Moshe Koppel* - 1995 |

| **Distributed cooperative Bayesian learning strategies** - *K. Yamanishi* - 1999 |

| **Distributed Representations, Simple Recurrent Networks, and Grammatical Structure** - *Jeffrey L. Elman* - 1991 |

| **Distributed robotic learning: adaptive behavior acquisition for distributed autonomous swimming robot in real-world** - *Daisuke Iijima, Wenwei Yu, Hiroshi Yokoi and Yukinori Kakazu* - 1999 |

| **Distributed value functions** - *Jeff Schneider, Weng-Keen Wong, Andrew Moore and Martin Riedmiller* - 1999 |

| **Distributional Expectations and the Induction of Category Structure** - *M. J. Flannagan, L. S. Fried and K. J. Holyoak* - 1986 |

| **Distribution-balanced stratified cross-validation for accuracy estimation** - *Xinchuan Zeng and Tony R. Martinez* - 2000 |

| **Distribution-Dependent Vapnik-Chervonenkis Bounds** - *Nicolas Vayatis and Robert Azencott* - 1999 |

| **A Distribution-Free Performance Bound in Error Estimation** - *L. P. Devroye and T. J. Wagner* - 1976 |

| **Distribution-Free Performance Bounds with the Resubstitution Error Estimate** - *L. P. Devroye and T. J. Wagner* - 1979 |

| **Diversity-based inference of finite automata** - *R. L. Rivest and R. E. Schapire* - 1987 |

| **Diversity-Based Inference of Finite Automata** - *R. E. Schapire* - May 1988 |

| **Diversity versus Quality in Classification Ensembles Based on Feature Selection** - *Padraig Cunningham and John Carney* - 2000 |

| **A Divide and Conquer Approach to Learning from Prior Knowledge** - *Eric Chown and Thomas G. Dietterich* - 2000 |

| **The Divide-and-Conquer Manifesto** - *Thomas G. Dietterich* - 2000 |

| **DNF - if you can't learn 'em, teach 'em: an interactive model of teaching** - *David H. Mathias* - 1995 |

| **Domains of attraction in autoassociative memory networks for character pattern recognition** - *Koichi Niijima* - 1993 |

| **Dominating distributions and learnability** - *G. M. Benedek and A. Itai* - 1992 |

| **DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning** - *Carlos E. Mariano and Eduardo F. Morales* - 2001 |

| **Drifting Games** - *Robert E. Schapire* - 2001 |

| **Drifting Games** - *Robert E. Schapire* - 1999 |

| **The dual DFA learning problem: hardness results for programming by demonstration and learning first-order representations** - *William W. Cohen* - 1996 |

| **Duality and Geometry in SVM Classifiers** - *Kristin P. Bennett and Erin J. Bredensteiner* - 2000 |

| **A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets** - *Paul Komarek and Andrew Moore* - 2000 |

| **Dynamic Discretization of Continuous Values from Time Series** - *Llanos Mora López, Inmaculada Fortes Ruiz, Rafael Morales Bueno and Francisco Triguero Ruiz* - 2000 |

| **Dynamic Feature Selection in Incremental Hierarchical Clustering** - *Luis Talavera* - 2000 |

| **Dynamic Hand Gesture Recognition Based on Randomized Self-Organizing Map Algorithm** - *Tarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta and Makoto Amamiya* - 2000 |

| **Dynamic modeling of chaotic time series by neural networks** - *Gustavo Deco and Bernd Schürmann* - 1997 |

| **Dynamic Parameter Encoding for Genetic Algorithms** - *Nicol N. Schraudolph and Richard K. Belew* - 1992 |