| **Editing by example** - *R. Nix* - 1984 |

| **Editing By Example (Ph.D Thesis)** - *R. Nix* - 1983 |

| **Editorial** - *Arun Sharma* - 2000 |

| **Editorial** - *Doug Fisher* - 2002 |

| **Editorial: Human and Machine Learning** - *Pat Langley* - 1986 |

| **Editorial: Inductive Logic Programming is Coming of Age** - *Peter Flach and Saso Dzeroski* - 2001 |

| **Editorial: Kernel Methods: Current Research and Future Directions** - *Nello Cristianini, Colin Campbell and Chris Burges* - 2002 |

| **Editorial: The Terminology of Machine Learning** - *Pat Langley* - 1986 |

| **Editors' foreword** - *William Gasarch and Ming Li* - 1996 |

| **Editors' Introduction** - *Klaus P. Jantke, Takeshi Shinohara and T. Zeugmann* - 1995 |

| **Editors' Introduction** - *Nicolo Cesa-Bianchi, Masayuki Numao and Rüdiger Reischuk* - 2002 |

| **Editors' Introduction** - *Michael M. Richter, Carl H. Smith, Rolf Wiehagen and Thomas Zeugmann* - 1998 |

| **Editors' Introduction** - *Naoki Abe, Roni Khardon and Thomas Zeugmann* - 2001 |

| **Effective and Efficient Knowledge Base Refinement** - *Leonardo Carbonara and Derek Sleeman* - 1999 |

| **Effective Learning in Dynamic Environments by Explicit Context Tracking** - *Gerhard Widmer and Miroslav Kubat* - 1993 |

| **An effective model for grammar inference** - *S. Crespi-Reghizzi* - 1972 |

| **The effective size of a neural network: A principal component approach** - *David W. Opitz* - 1997 |

| **The effect of adding relevance information in a relevance feedback environment** - *C. Buckley, G. Salton and J. Allan* - 1994 |

| **The Effect of Instance-Space Partition on Significance** - *Jeffrey P. Bradford and Carla E. Brodley* - 2001 |

| **The Effect of Multiple Knowledge Sources on Learning and Teaching** - *R. Hall, E. Wenger, D. Kibler and P. Langley* - 1985 |

| **The Effect of Noise on Concept Learning** - *J. R. Quinlan* - 1986 |

| **The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures** - *Marcel Turcotte, Stephen H. Muggleton and Michael J. E. Sternberg* - 2001 |

| **The Effect of Representation and Knowledge on Goal-Directed Exploration with Reinforcement-Learning Algorithms** - *Sven Koenig and Reid G. Simmons* - 1996 |

| **The Effect of the Input Density Distribution on Kernel-based Classifiers** - *Christopher K. I. Williams and Matthias Seeger* - 2000 |

| **The Effects of Differnet Feature Sets on the Web Page Categorization Problem Using the Iterative Cross-Training Algorithm** - *Nuanwan Soonthornphisaj and Boonserm Kijsirikul* - 2001 |

| **Effects of feature selection with 'blurring' on neurofuzzy systems** - *Selwyn Piramuthu* - 1996 |

| **Effects of Kolmogorov complexity present in inductive inference as well** - *Andris Ambainis, Kalvis Aps\=ıtis, Cristian Calude, Rīsiņš Freivalds, Marek Karpinski, Tomas Larfeldt, Iveta Sala and Juris Smotrovs* - 1997 |

| **The effects of training set size on decision tree complexity** - *Tim Oates and David Jensen* - 1997 |

| **Efficient agnostic PAC-learning with simple hypotheses** - *W. Maass* - 1994 |

| **Efficient Algorithm for Learning Simple Regular Expressions from Noisy Examples** - *Alvis Brāzma* - 1994 |

| **An efficient algorithm for optimal pruning of decision trees** - *Hussein Almuallim* - 1996 |

| **Efficient algorithms for decision tree cross-validation** - *Hendrik Blockeel and Jan Struyf* - 2001 |

| **Efficient algorithms for finding multi-way splits for decision trees** - *Truxton Fulton, Simon Kasif and Steven Salzberg* - 1995 |

| **Efficient algorithms for learning to play repeated games against computationally bounded adversaries** - *Yoav Freund, Michael Kearns, Yishay Mansour, Dana Ron and Ronitt Rubinfeld* - 1995 |

| **Efficient algorithms for minimizing cross validation error** - *Andrew W. Moore and Mary S. Lee* - 1994 |

| **Efficient Algorithms for the Inference of Minimum Size DFAs** - *Arlindo L. Oliveira and João P. M. Silva* - 2001 |

| **Efficient algorithms with neural networks behavior** - *S. Omohundro* - 1987 |

| **Efficient Ambiguity Detection in C-NFA, a Step Towards the Inference on Non Deterministic Automata** - *François Coste and Daniel Fredouille* - 2000 |

| **An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoner** - *Barry Smyth and Elizabeth McKenna* - 2000 |

| **An Efficient Approach for Approximating Multi-Dimensional Range Queries and Nearest Neighbor Classification in Large Datasets** - *Carlotta Domeniconi and Dimitrios Gunopulos* - 2001 |

| **Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables** - *David Maxwell Chickering and David Heckerman* - 1997 |

| **An efficient boosting algorithm for combining preferences** - *Yoav Freund, Raj Iyer, Robert E. Schapire and Yoram Singer* - 1998 |

| **Efficient Construction of Regression Trees with Range and Region Splitting** - *Yasuhiko Morimoto, Hiromu Ishii and Shinichi Morishita* - 2001 |

| **Efficient Data Mining by Active Learning** - *Hiroshi Mamitsuka and Naoki Abe* - 2001 |

| **Efficient Data Mining from Large Text Databases** - *Hiroki Arimura, Hiroshi Sakamoto and Setsuo Arikawa* - 2001 |

| **Efficient distribution-free learning of probabilistic concepts** - *Michael J. Kearns and Robert E. Schapire* - 1994 |

| **Efficient distribution-free learning of probabilistic concepts** - *Michael J. Kearns and Robert E. Schapire* - 1994 |

| **Efficient distribution-free population learning of simple concepts** - *Atsuyoshi Nakamura, Jun-ichi Takeuchi and Naoki Abe* - 1998 |

| **An efficient exact learning algorithm for ordered binary decision diagrams** - *Atsuyoshi Nakamura* - 1997 |

| **An Efficient Extension to Mixture Techniques for Prediction and Decision Trees** - *Fernando C. N. Pereira and Yoram Singer* - 1999 |

| **Efficient feature selection in conceptual clustering** - *Mark Devaney and Ashwin Ram* - 1997 |

| **Efficient identification of regular expressions from representative examples** - *A. Brāzma* - 1993 |

| **Efficient Incremental Induction of Decision Trees** - *Dimitrios Kalles and Tim Morris* - 1996 |

| **Efficient inductive inference of primitive prologs from positive data** - *Hiroki Ishizaka, Hiroki Arimura and Takeshi Shinohara* - 1993 |

| **Efficient inference of partial types** - *Dexter Kozen, Jens Palsberg and Michael I. Schwartzbach* - 1994 |

| **Efficient learning from delayed rewards through symbolic evolution** - *David E. Moriarty and Risto Miikkulainen* - 1995 |

| **Efficient learning of context-free grammars from positive structural examples** - *Yasubumi Sakakibara* - 1992 |

| **Efficient learning of continuous neural networks** - *P. Koiran* - 1994 |

| **Efficient learning of monotone concepts via quadratic optimization** - *David Gamarnik* - 1998 |

| **Efficient Learning of One-Variable Pattern Languages from Positive Examples** - *T. Erlebach, P. Rossmanith, H. Stadtherr, A. Steger and T. Zeugmann* - 1996 |

| **Efficient Learning of Real Time One-Counter Automata** - *Amr F. Fahmy and Robert S. Roos* - 1995 |

| **Efficient learning of real time two-counter automata** - *Amr F. Fahmy and Robert S. Roos* - 1996 |

| **Efficient learning of regular expressions from approximate examples** - *Alvis Brāzma* - 1997 |

| **Efficient Learning of Regular Expressions from Good Examples** - *Alvis Brāzma and Kārlis Čerāns* - 1994 |

| **Efficient learning of selective Bayesian network classifiers** - *Moninder Singh and Gregory M. Provan* - 1996 |

| **Efficient Learning of Semi-structured Data from Queries** - *Hiroki Arimura, Hiroshi Sakamoto and Setsuo Arikawa* - 2001 |

| **Efficient learning of typical finite automata from random walks** - *Y. Freund, M. Kearns, D. Ron, R. Rubinfeld, R. Schapire and L. Sellie* - 1993 |

| **Efficient Learning Trough Evolution: Neural Programming and Internal Reinforcement** - *Astro Teller and Manuela Veloso* - 2000 |

| **Efficient learning with virtual threshold gates** - *Wolfgang Maass and Manfred K. Warmuth* - 1995 |

| **Efficient locally weighted polynomial regression predictions** - *Andrew W. Moore, Jeff Schneider and Kan Deng* - 1997 |

| **Efficiently Approximating Weighted Sums with Exponentially Many Terms** - *Deepak Chawla, Lin Li and Stephen Scott* - 2001 |

| **Efficiently Determining the Starting Sample Size for Progressive Sampling** - *Baohua Gu, Bing Liu, Feifang Hu and Huan Liu* - 2001 |

| **An efficient membership-query algorithm for learning DNF with respect to the uniform distribution** - *Jeffrey C. Jackson* - 1997 |

| **Efficient memory-based dynamic programming** - *Jing Peng* - 1995 |

| **Efficient Methods for Massively Parallel Symbolic Induction: Algorithms and Implementation** - *R. H. Lathrop* - June 1990 |

| **An Efficient Method To Estimate Bagging's Generalization Error** - *David Wolpert and William G. Macready* - 1999 |

| **Efficient Mining from Large Database by Query Learning** - *Hiroshi Mamitsuka and Naoki Abe* - 2000 |

| **Efficient NC algorithms for set cover with applications to learning and geometry** - *Bonnie Berger, John Rompel and Peter W. Shor* - 1994 |

| **Efficient NC algorithms for set cover with applications to learning and geometry** - *B. Berger, J. Rompel and P. W. Shor* - 1989 |

| **Efficient noise-tolerant learning from statistical queries** - *M. Kearns* - 1993 |

| **Efficient non-linear control by combining Q-learning with local linear controllers** - *Hajime Kimura and Shigenobu Kobayashi* - 1999 |

| **An Efficient PAC Algorithm for Reconstructing a Mixture of Lines** - *Sanjoy Dasgupta, Elan Pavlov and Yoram Singer* - 2002 |

| **An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery** - *Michael R. Brent* - 1999 |

| **Efficient Read-Restricted Monotone CNF/DNF Dualization by Learning with Membership Queries** - *Carlos Domingo, Nina Mishra and Leonard Pitt* - 1999 |

| **Efficient reinforcement learning** - *C. N. Fiechter* - 1994 |

| **Efficient Reinforcement Learning through Symbiotic Evolution** - *David E. Moriarty and Risto Miikkulainen* - 1996 |

| **An Efficient Robust Algorithm for Learning Decision Lists** - *Y. Sakakibara* - August 1990 |

| **Efficient Specialization of Relational Concepts** - *Kurt Vanlehn* - 1989 |

| **An efficient subsumption algorithm for inductive logic programming** - *Jörg-Uwe Kietz and Marcus Lübbe* - 1994 |

| **Efficient SVM Regression Training with SMO** - *Gary William Flake and Steve Lawrence* - 2002 |

| **Efficient unsupervised learning** - *P. D. Laird* - 1988 |

| **Elementary formal system as a unifying framework for language learning** - *S. Arikawa, T. Shinohara and A. Yamamoto* - 1989 |

| **Elementary formal systems, intrinsic complexity, and procrastination** - *Sanjay Jain and Arun Sharma* - 1997 |

| **Elements of Information Theory** - *T. Cover and J. Thomas* - 1991 |

| **Elements of Scientific Inquiry** - *Eric Martin and Daniel N. Osherson* - 1998 |

| **Elevator Group Control Using Multiple Reinforcement Learning Agents** - *Robert H. Crites and Andrew G. Barto* - 1998 |

| **Eligibility Traces for Off-Policy Policy Evaluation** - *Doina Precup, Richard S. Sutton and Satinder Singh* - 2000 |

| **The EM algorithm and Information geometry in neural network learning** - *S. Amari* - January 1995 |

| **EM Algorithm with Split and Merge Operations for Mixture Models** - *Naonori Ueda and Ryohei Nakano* - 2000 |

| **EM Learning for Symbolic-Statistical Models in Statistical Abduction** - *Taisuke Sato* - 2001 |

| **Empirical Bayes for Learning to Learn** - *Tom Heskes* - 2000 |

| **An Empirical Comparison of Pruning Methods for Decision Tree Induction** - *John Mingers* - 1989 |

| **An Empirical Comparison of Selection Measures for Decision-Tree Induction** - *John Mingers* - 1989 |

| **An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants** - *Eric Bauer and Ron Kohavi* - 1999 |

| **An empirical investigation of brute force to choose features, smoothers and function approximators** - *Andrew W. Moore, Daniel J. Hill and Michael P. Johnson* - 1995 |

| **Empirical Learning as a Function of Concept Character** - *Larry Rendell and Howard Cho* - 1990 |

| **Empirical Learning Using Rule Threshold Optimization for Detection of Events in Synthetic Images** - *David J. Montana* - 1990 |

| **An Empirical Study of MetaCost Using Boosting Algorithms** - *Kai Ming Ting* - 2000 |

| **Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain** - *Avrim Blum* - 1997 |

| **Empirical support for Winnow and weighted-majority based algorithms: results on a calendar scheduling domain** - *Avrim Blum* - 1995 |

| **Employing EM and pool-based active learning for text classification** - *Andrew Kachites McCallum and Kamal Nigam* - 1998 |

| **Encouraging Experimental Results on Learning CNF** - *Raymond J. Mooney* - 1995 |

| **Enhancing Supervised Learning with Unlabeled Data** - *Sally Goldman and Yan Zhou* - 2000 |

| **Enhancing the Plausibility of Law Equation Discovery** - *Takashi Washio, Hiroshi Motoda and Yuji Niwa* - 2000 |

| **Enlarging the Margins in Perceptron Decision Trees** - *Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor and Donghui Wu* - 2000 |

| **Entropy, Combinatorial Dimensions and Random Averages** - *Shahar Mendelson and Roman Vershynin* - 2002 |

| **Entropy Numbers of Linear Function Classes** - *Robert C. Williamson, Alex J. Smola and Bernhard Schölkopf* - 2000 |

| **Entropy Numbers, Operators and Support Vector Kernels** - *Robert C. Williamson, Alex J. Smola and Bernhard Schölkopf* - 1999 |

| **Entropy Optimization Principles with Applications** - *J. N. Kapur and H. K Kesavan* - 1992 |

| **Enumerable Classes of Total Recursive Functions: Complexity of Inductive Inference** - *Andris Ambainis and Juris Smotrovs* - 1994 |

| **Epsilon-nets and Simplex Range Queries** - *D. Haussler and E. Welzl* - 1987 |

| **The equivalence and learning of probabilistic automata** - *W. Tzeng* - 1989 |

| **Equivalence of Models for Polynomial Learnability** - *D. Haussler, M. Kearns, N. Littlestone and M. K. Warmuth* - December 1991 |

| **Equivalence queries and approximate fingerprints** - *D. Angluin* - 1989 |

| **Equivalence Queries and DNF formulas** - *D. Angluin* - November 1988 |

| **Errata** - *No Author* - 1990 |

| **Errata to Extending** - * Authorless* - 1990 |

| **Erratum** - *No Author* - 1993 |

| **Erratum one** - * Authorless* - 1989 |

| **Erratum to Discovery** - * Authorless* - 1993 |

| **Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning** - *David McKoskey and Daniel Boley* - 2000 |

| **Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs** - *Thomas G. Dietterich and Ghulum Bakiri* - 1991 |

| **Error-correcting output coding corrects bias and variance** - *Eun Bae Kong and Thomas G. Dietterich* - 1995 |

| **Error detecting in inductive inference** - *R. Freivalds, E. B. Kinber and R. Wiehagen* - 1995 |

| **Error Reduction through Learning Multiple Descriptions** - *Kamal M. Ali and Michael J. Pazzani* - 1996 |

| **Estimating a Boolean Perceptron from Its Average Satisfying Assignment: A Bound on the Precision Required** - *Paul W. Goldberg* - 2001 |

| **Estimating a Kernel Fisher Discriminant in the Presence of Label Noise** - *Neil D. Lawrence and Bernhard Schölkopf* - 2001 |

| **Estimating a mixture of two product distributions** - *Yoav Freund and Yishay Mansour* - 1999 |

| **Estimating continuous distributions in Bayesian classifiers** - *George H. John and Pat Langley* - 1995 |

| **Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates** - *Tom Bylander* - 2002 |

| **Estimating the Generalization Performance of an SVM Efficiently** - *Thorsten Joachims* - 2000 |

| **Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces** - *Jürgen Forster, Niels Schmitt and Hans Ulrich Simon* - 2001 |

| **Estimating the Predictive Accuracy of a Classifier** - *Hilan Bensusan and Alexandros Kalousis* - 2001 |

| **Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning** - *Peter L. Bartlett and Jonathan Baxter* - 2000 |

| **Estimation of Dependences Based on Empirical Data** - *V. N. Vapnik* - 1982 |

| **Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach** - *Dimitris Bertsimas, David Gamarnik and John N. Tsitsiklis* - 1999 |

| **Evaluating the performance of a simple inductive procedure in the presence of overfitting error** - *A. Nobel* - 1991 |

| **Evaluation and selection of biases in machine learning** - *Diana F. Gordon and Marie desJardins* - 1995 |

| **Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining** - *Ulrich Sack and Manja Kamprad* - 2001 |

| **Evaluation of learning biases using probabilistic domain knowledge** - *Marie desJardins* - 1994 |

| **The Evaluation of Predictive Learners: Some Theoretical and Empirical Results** - *Kevin B. Korb, Lucas R. Hope and Michelle J. Hughes* - 2001 |

| **An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning** - *Wojciech Kwedlo and Marek Kretowski* - 2001 |

| **An Evolutionary Approach to Evidence-Based Learning of Deterministic Finite Automata** - *Stefan Veeser* - 2000 |

| **Evolutionary Search, Stochastic Policies with Memory, and Reinforcement Learning with Hidden State** - *Matthew R. Glickman and Katia Sycara* - 2001 |

| **Evolutionary Trees Can be Learned in Polynomial Time in the Two-State General Markov Model** - *Mary Cryan, Leslie Ann Goldberg and Paul W. Goldberg* - 2001 |

| **Evolution of a subsumption architecture that performs a wall following task for an autonomous mobile robot** - *John R. Koza* - 1994 |

| **Evolving structured programs with hierarchical instructions and skip nodes** - *Rafał Sałustowicz and Jürgen Schmidhuber* - 1998 |

| **Exact classification with two-layer neural nets** - *Gavin J. Gibson* - 1996 |

| **Exact identification of circuits using fixed points of amplification functions** - *S. A. Goldman, M. J. Kearns and R. E. Schapire* - August 1993 |

| **Exact Learning of Discretized Geometric Concepts** - *Nader H. Bshouty, Paul W. Goldberg, Sally A. Goldman and H. David Mathias* - 1998 |

| **Exact Learning of Formulas in Parallel** - *Nader H. Bshouty* - 1997 |

| **Exact learning of ***mu*-DNF formulas with malicious membership queries - *Dana Angluin* - March 1994 |

| **Exact learning of linear combinations of monotone terms from function value queries** - *Atsuyoshi Nakamura and Naoki Abe* - 1995 |

| **Exact learning of read-k disjoint DNF and not-so-disjoint DNF** - *H. Aizenstein and L. Pitt* - 1992 |

| **Exact learning of read-twice DNF formulas** - *H. Aizenstein and L. Pitt* - 1991 |

| **Exact learning of tree patterns from queries and counterexamples** - *Thomas R. Amoth, Paul Cull and Prasad Tadepalli* - 1998 |

| **Exact learning of unordered tree patterns from queries** - *Thomas R. Amoth, Paul Cull and Prasad Tadepalli* - 1999 |

| **Exact learning via teaching assistants** - *V. Arvind and N. V. Vinodchandran* - 2000 |

| **Exact learning via teaching assistants** - *V. Arvind and N. V. Vinodchandran* - 1997 |

| **Exact learning via the monotone theory** - *Nader H. Bshouty* - 1993 |

| **Exact learning when irrelevant variables abound** - *D. Guijarro, V. Lavin and V. Raghavan* - 1999 |

| **Exactly Learning Automata of Small Cover Time** - *Dana Ron and Ronitt Rubinfeld* - 1997 |

| **An exact probability metric for decision tree splitting and stopping** - *J. Kent Martin* - 1997 |

| **Exemplar-Based Knowledge Acquisition** - *Yoram Reich* - 1991 |

| **Exemplar-based learning: theory and implementation** - *S. Salzberg* - October 1988 |

| **Expectation Maximization for Weakly Labeled Data** - *Yuri Ivanov, Bruce Blumberg and Alex Pentland* - 2001 |

| **Expected error analysis for model selection** - *Tobias Scheffer and Thorsten Joachims* - 1999 |

| **Experience Selection and Problem Choice in an Exploratory Learning System** - *Paul D. Scott and Shaul Markovitch* - 1993 |

| **Experience with a Learning Personal Assistant** - *Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott and David Zabowski* - 1994 |

| **An Experimental and Theoretical Comparison of Model Selection Methods** - *Michael Kearns, Yishay Mansour, Andrew Y. Ng and Dana Ron* - 1997 |

| **An Experimental Comparison of Connectionist and Conventional Classification Systems on Natural Data** - *P. C. Woodland and S. G. Smyth* - October 1989 |

| **An Experimental Comparison of Model-Based Clustering Methods** - *Marina Meila and David Heckerman* - 2001 |

| **An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms** - *Dietrich Wettschereck and Thomas G. Dietterich* - 1995 |

| **An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization** - *Thomas G. Dietterich* - 2000 |

| **An experimental evaluation of coevolutive concept learning** - *Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello and Lorenza Saitta* - 1998 |

| **An Experimental Evaluation of Integrating Machine Learning with Knowledge** - *Geoffrey I. Webb, Jason Wells and Zijian Zheng* - 1999 |

| **Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics** - *Bruce W. Porter and Dennis F. Kibler* - 1986 |

| **Experimental knowledge acquisition for planning** - *Kang Soo Tae and Diane J. Cook* - 1996 |

| **Experimental Results on Q-Learning for General-Sum Stochastic Games** - *Junling Hu and Michael P. Wellman* - 2000 |

| **Experiments on the transfer of knowledge between neural networks** - *Lorien Y. Pratt* - 1994 |

| **Experiments with a new Boosting algorithm** - *Yoav Freund and Robert E. Schapire* - 1996 |

| **Experiments with Incremental Concept Formation: UNIMEM** - *Michael Lebowitz* - 1987 |

| **Experiments with noise filtering in a medical domain** - *Dragan Gamberger, Nada Lavrač and Ciril Grošelj* - 1999 |

| **Explanation-Based Generalization: A Unifying View** - *Tom M. Mitchell, Richard M. Keller and Smadar T. Kedar-Cabelli* - 1986 |

| **Explanation-Based Learning: An Alternative View** - *Gerald Dejong and Raymond Mooney* - 1986 |

| **Explanation-based learning and reinforcement learning: a unified view** - *Thomas G. Dietterich and Nicholas S. Flann* - 1997 |

| **Explanation-Based Learning for Diagnosis** - *Yousri El Fattah and Paul O'Rorke* - 1993 |

| **Explanation-Based Reuse of Prolog Programs** - *Yasuyuki Koga, Eiju Hirowatari and Setsuo Arikawa* - 1994 |

| **Explicit Representation of Concept Negation** - *Jean-Francois Puget* - 1994 |

| **Exploiting Chaos to Predict the Future and Reduce Noise** - *J. D. Farmer and J. J. Sidorowich* - March 1988 |

| **Exploiting Classifier Combination for Early Melanoma Diagnosis Support** - *Enrico Blanzieri, C. Eccher, S. Forti and A. Sboner* - 2000 |

| **Exploiting Context When Learning to Classify** - *Peter D. Turney* - 1993 |

| **Exploiting random walks for learning** - *P. L. Bartlett, P. Fischer and K.-U. Höffgen* - 1994 |

| **Exploiting the Cost of (In)sensitivity of Decision Tree Splitting Criteria** - *Chris Drummond and Robert C. Holte* - 2000 |

| **Exploiting the omission of irrelevant data** - *Russell Greiner, Adam J. Grove and Alexander Kogan* - 1996 |

| **Exploration Bonuses and Dual Control** - *Peter Dayan and Terrence J. Sejnowski* - 1996 |

| **Exploration control in Reinforcement Learning Using Optimistic Model Selection** - *Jeremy L. Wyatt* - 2001 |

| **Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty** - *Nicolas Meuleau and Paul Bourgine* - 1999 |

| **Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises** - *J. L. McClelland and D. E. Rumelhart* - 1988 |

| **Explorations of an Incremental, Bayesian Algorithm for Categorization** - *John R. Anderson and Michael Matessa* - 1992 |

| **Exploratory Research in Machine Learning** - *Thomas G. Dietterich* - 1990 |

| **Exploring an Unknown Graph** - *X. Deng and C. H. Papadimitriou* - 1990 |

| **Exploring Learnability between Exact and PAC** - *Nader H. Bshouty, Jeffrey C. Jackson and Christino Tamon* - 2002 |

| **Exploring the decision forest: an empirical investigation of Occam's razor in decision tree induction** - *Patrick M. Murphy and Michael J. Pazzani* - 1997 |

| **Exploring Unknown Environments** - *Susanne Albers and Monika R. Henzinger* - 1999 |

| **Exponentially many local minima for single neurons** - *Peter Auer, Mark Herbster and Manfred K. Warmuth* - 1996 |

| **Exponentiated gradient methods for reinforcement learning** - *Doina Precup and Richard S. Sutton* - 1997 |

| **Exponentiated Gradient Versus Gradient Descent for Linear Predictors** - *J. Kivinen and M. K. Warmuth* - June 1994 |

| **Extended Association Algorithm Based on ROC Analysis for Visual Information Navigator** - *Hiroyuki Kawano and Minoru Kawahara* - 2001 |

| **Extended Stochastic Complexity and Minimax Relative Loss Analysis** - *Kenji Yamanishi* - 1999 |

| **Extending Domain Theories: Two Case Studies in Student Modeling** - *D. Sleeman, H. Hirsh, I. Ellery and In-Yung Kim* - 1990 |

| **Extending Elementary Formal Systems** - *Steffen Lange, Gunter Grieser and Klaus P. Jantke* - 2001 |

| **Extending the Valiant learning model** - *J. Amsterdam* - 1988 |

| **Extensional set learning** - *Sebastiaan A. Terwijn* - 1999 |

| **Extension of the PAC framework to finite and countable Markov chains** - *David Gamarnik* - 1999 |

| **Extensions of a Theory of Networks for Approximation and Learning: dimensionality and reduction and clustering** - *T. Poggio and F. Girosi* - April 1990 |

| **Extracting Best Consensus Motifs from Positive and Negative Examples** - *Erika Tateishi, Osamu Maruyama and Satoru Miyano* - 1996 |

| **Extracting Context-Sensitive Models in Inductive Logic Programming** - *Ashwin Srinivasan* - 2001 |

| **Extracting Hidden Context** - *Michael Bonnell Harries, Claude Sammut and Kim Horn* - 1998 |

| **Extracting Information from the Web for Concept Learning and Collaborative Filtering** - *William W. Cohen* - 2000 |

| **Extracting Refined Rules from Knowledge-Based Neural Networks** - *Geoffrey G. Towell and Jude W. Shavlik* - 1993 |

| **Extraction of Knowledge from Data Using Constrained Neural Networks** - *Raqui Kane, Irina Tchoumatchenko and Maurice Milgram* - 1993 |

| **Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data** - *Kuniaki Uehara and Mitsuomi Shimada* - 2001 |

| **Extraction of Recurrent Patterns from Stratified Ordered Trees** - *Jean-Gabriel Ganascia* - 2001 |

| **Extraction of Signal from High Dimensional Time Series: Analysis of Ocean Bottom Seismograph Data** - *Genshiro Kitagawa, Tetsuo Takanami, Asako Kuwano, Yoshio Murai and Hideki Shimamura* - 2001 |

| **Extremes in the Degrees of Inferability** - *L. Fortnow, W. Gasarch, S. Jain, E. Kinber, M. Kummer, S. Kurtz, M. Pleszkoch, T. Slaman, R. Solovay and F. Stephan* - 1994 |