Conferences in DBLP
Naoki Abe , Hang Li , Atsuyoshi Nakamura On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Hussein Almuallim , Yasuhiro Akiba , Shigeo Kaneda On Handling Tree-Structured Attributed in Decision Tree Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Auer , Robert C. Holte , Wolfgang Maass Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Leemon C. Baird III Residual Algorithms: Reinforcement Learning with Function Approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Shumeet Baluja , Rich Caruana Removing the Genetics from the Standard Genetic Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Scott Benson Inductive Learning of Reactive Action Models. [Citation Graph (0, 0)][DBLP ] Conf ] Justine Blackmore , Risto Miikkulainen Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network. [Citation Graph (0, 0)][DBLP ] Conf ] Avrim Blum Empirical Support for Winnow and Weighted-Majority Based Algorithms: Results on a Calendar Scheduling Domain. [Citation Graph (0, 0)][DBLP ] Conf ] Carla E. Brodley Automatic Selection of Split Criterion during Tree Growing Based on Node Location. [Citation Graph (0, 0)][DBLP ] Conf ] Clifford Brunk , Michael J. Pazzani A Lexical Based Semantic Bias for Theory Revision. [Citation Graph (0, 0)][DBLP ] Conf ] Philip K. Chan , Salvatore J. Stolfo A Comparative Evaluation of Voting and Meta-learning on Partitioned Data. [Citation Graph (0, 0)][DBLP ] Conf ] Pawel Cichosz , Jan J. Mulawka Fast and Efficient Reinforcement Learning with Truncated Temporal Differences. [Citation Graph (0, 0)][DBLP ] Conf ] John G. Cleary , Leonard E. Trigg K* : An Instance-based Learner Using and Entropic Distance Measure. [Citation Graph (0, 0)][DBLP ] Conf ] William W. Cohen Fast Effective Rule Induction. [Citation Graph (3, 0)][DBLP ] Conf ] William W. Cohen Text Categorization and Relational Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Susan Craw , Paul Hutton Protein Folding: Symbolic Refinement Competes with Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] James Cussens A Bayesian Analysis of Algorithms for Learning Finite Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Ido Dagan , Sean P. Engelson Committee-Based Sampling For Training Probabilistic Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Piew Datta , Dennis F. Kibler Learning Prototypical Concept Descriptions. [Citation Graph (0, 0)][DBLP ] Conf ] Gerald DeJong A Case Study of Explanation-Based Control. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas G. Dietterich , Nicholas S. Flann Explanation-Based Learning and Reinforcement Learning: A Unified View. [Citation Graph (0, 0)][DBLP ] Conf ] Steven K. Donoho , Larry A. Rendell Lessons from Theory Revision Applied to Constructive Induction. [Citation Graph (0, 0)][DBLP ] Conf ] James Dougherty , Ron Kohavi , Mehran Sahami Supervised and Unsupervised Discretization of Continuous Features. [Citation Graph (2, 0)][DBLP ] Conf ] John A. Drakopoulos Bounds on the Classification Error of the Nearest Neighbor Rule. [Citation Graph (0, 0)][DBLP ] Conf ] Michael O. Duff Q-Learning for Bandit Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Sean P. Engelson , Moshe Koppel Distilling Reliable Information From Unreliable Theories. [Citation Graph (0, 0)][DBLP ] Conf ] Philip W. L. Fong A Quantitative Study of Hypothesis Selection. [Citation Graph (0, 0)][DBLP ] Conf ] P. Krishnan , Philip M. Long , Jeffrey Scott Vitter Learning to Make Rent-to-Buy Decisions with Systems Applications. [Citation Graph (0, 0)][DBLP ] Conf ] Matthias Fuchs Learning Proof Heuristics by Adaptive Parameters. [Citation Graph (0, 0)][DBLP ] Conf ] Truxton Fulton , Simon Kasif , Steven Salzberg Efficient Algorithms for Finding Multi-way Splits for Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Luca Maria Gambardella , Marco Dorigo Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey J. Gordon Stable Function Approximation in Dynamic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Russell Greiner The Challenge of Revising an Impure Theory. [Citation Graph (0, 0)][DBLP ] Conf ] Jukka Hekanaho Symbiosis in Multimodal Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Herbster , Manfred K. Warmuth Tracking the Best Expert. [Citation Graph (0, 0)][DBLP ] Conf ] Hajime Kimura , Masayuki Yamamura , Shigenobu Kobayashi Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Kohavi , George H. John Autmatic Parameter Selection by Minimizing Estimated Error. [Citation Graph (0, 0)][DBLP ] Conf ] Eun Bae Kong , Thomas G. Dietterich Error-Correcting Output Coding Corrects Bias and Variance. [Citation Graph (0, 0)][DBLP ] Conf ] Ken Lang NewsWeeder: Learning to Filter Netnews. [Citation Graph (3, 0)][DBLP ] Conf ] Kevin J. Lang Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza's. [Citation Graph (0, 0)][DBLP ] Conf ] Pat Langley , Karl Pfleger Case-Based Acquisition of Place Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Nick Littlestone Comparing Several Linear-threshold Learning Algorithms on Tasks Involving Superfluous Attributes. [Citation Graph (0, 0)][DBLP ] Conf ] Michael L. Littman , Anthony R. Cassandra , Leslie Pack Kaelbling Learning Policies for Partially Observable Environments: Scaling Up. [Citation Graph (0, 0)][DBLP ] Conf ] David J. Lubinsky Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves. [Citation Graph (0, 0)][DBLP ] Conf ] Wolfgang Maass , Manfred K. Warmuth Efficient Learning with Virtual Threshold Gates. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew McCallum Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State. [Citation Graph (0, 0)][DBLP ] Conf ] David E. Moriarty , Risto Miikkulainen Efficient Learning from Delayed Rewards through Symbiotic Evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Partha Niyogi Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Richard Nock , Olivier Gascuel On Learning Decision Committees. [Citation Graph (0, 0)][DBLP ] Conf ] Arlindo L. Oliveira , Alberto L. Sangiovanni-Vincentelli Inferring Reduced Ordered Decision Graphs of Minimum Description Length. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan J. Oliver , David J. Hand On Pruning and Averaging Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Jing Peng Efficient Memory-Based Dynamic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Eduardo Pérez , Larry A. Rendell Using Multidimensional Projection to Find Relations. [Citation Graph (0, 0)][DBLP ] Conf ] Bernhard Pfahringer Compression-Based Discretization of Continuous Attributes. [Citation Graph (0, 0)][DBLP ] Conf ] J. Ross Quinlan MDL and Categorial Theories (Continued). [Citation Graph (0, 0)][DBLP ] Conf ] R. Bharat Rao , Diana F. Gordon , William M. Spears For Every Generalization Action, Is There Really an Equal and Opposite Reaction? [Citation Graph (0, 0)][DBLP ] Conf ] Marcos Salganicoff , Lyle H. Ungar Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. [Citation Graph (0, 0)][DBLP ] Conf ] Jürgen Schmidhuber Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability. [Citation Graph (0, 0)][DBLP ] Conf ] Moninder Singh , Gregory M. Provan A Comparison of Induction Algorithms for Selective and non-Selective Bayesian Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Padhraic Smyth , Alexander Gray , Usama M. Fayyad Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Brett Squires , Claude Sammut Automatic Speaker Recognition: An Application of Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] W. Nick Street , Olvi L. Mangasarian , W. H. Wolberg An Inductive Learning Approach to Prognostic Prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Richard S. Sutton TD Models: Modeling the World at a Mixture of Time Scales. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey G. Towell , Ellen M. Voorhees , Narendra Kumar Gupta , Ben Johnson-Laird Learning Collection FUsion Strategies for Information Retrieval. [Citation Graph (1, 0)][DBLP ] Conf ] Xuemei Wang Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition. [Citation Graph (0, 0)][DBLP ] Conf ] Gary M. Weiss Learning with Rare Cases and Small Disjuncts. [Citation Graph (0, 0)][DBLP ] Conf ] David Wolpert Horizonal Generalization. [Citation Graph (0, 0)][DBLP ] Conf ] Takefumi Yamazaki , Michael J. Pazzani , Christopher J. Merz Learning Hierarchies from Ambiguous Natural Language Data. [Citation Graph (0, 0)][DBLP ] Conf ] W. Bruce Croft Machine Learning and Information Retrieval (Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] David Heckerman Learning With Bayesian Networks (Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Dean Pomerleau Learning for Automotive Collision Avoidance and Autonomous Control. [Citation Graph (0, 0)][DBLP ] Conf ] 