Conferences in DBLP
Naoki Abe , Hiroshi Mamitsuka Query Learning Strategies Using Boosting and Bagging. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Aler , Daniel Borrajo , Pedro Isasi Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Cosimo Anglano , Attilio Giordana , Giuseppe Lo Bello , Lorenza Saitta An Experimental Evaluation of Coevolutive Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Baxter , Andrew Tridgell , Lex Weaver KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen D. Bay Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel Billsus , Michael J. Pazzani Learning Collaborative Information Filters. [Citation Graph (0, 0)][DBLP ] Conf ] Hendrik Blockeel , Luc De Raedt , Jan Ramon Top-Down Induction of Clustering Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Kurt D. Bollacker , Joydeep Ghosh A Supra-Classifier Architecture for Scalable Knowledge Reuse. [Citation Graph (0, 0)][DBLP ] Conf ] Blai Bonet , Hector Geffner Learning Sorting and Decision Trees with POMDPs. [Citation Graph (0, 0)][DBLP ] Conf ] Paul S. Bradley , Olvi L. Mangasarian Feature Selection via Concave Minimization and Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Paul S. Bradley , Usama M. Fayyad Refining Initial Points for K-Means Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolò Cesa-Bianchi , Paul Fischer Finite-Time Regret Bounds for the Multiarmed Bandit Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Nello Cristianini , John Shawe-Taylor , Peter Sykacek Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas G. Dietterich The MAXQ Method for Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Pedro Domingos A Process-Oriented Heuristic for Model Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Saso Dzeroski , Luc De Raedt , Hendrik Blockeel Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Eibe Frank , Ian H. Witten Generating Accurate Rule Sets Without Global Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Eibe Frank , Ian H. Witten Using a Permutation Test for Attribute Selection in Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Dayne Freitag Multistrategy Learning for Information Extraction. [Citation Graph (0, 0)][DBLP ] Conf ] Yoav Freund , Raj D. Iyer , Robert E. Schapire , Yoram Singer An Efficient Boosting Algorithm for Combining Preferences. [Citation Graph (0, 0)][DBLP ] Conf ] Nir Friedman , Moisés Goldszmidt , Thomas J. Lee Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting. [Citation Graph (0, 0)][DBLP ] Conf ] Thilo-Thomas Frieß , Nello Cristianini , Colin Campbell The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Zoltán Gábor , Zsolt Kalmár , Csaba Szepesvári Multi-criteria Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Joao Gama Local Cascade Generalization. [Citation Graph (0, 0)][DBLP ] Conf ] Frédérick Garcia , Seydina M. Ndiaye A Learning Rate Analysis of Reinforcement Learning Algorithms in Finite-Horizon. [Citation Graph (0, 0)][DBLP ] Conf ] Diana F. Gordon Well-Behaved Borgs, Bolos, and Berserkers. [Citation Graph (0, 0)][DBLP ] Conf ] Tom Heskes Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Junling Hu , Michael P. Wellman Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Hugues Juillé , Jordan B. Pollack Coevolutionary Learning: A Case Study. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Kearns , Satinder P. Singh Near-Optimal Reinforcement Learning in Polynominal Time. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Kearns , Yishay Mansour A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization. [Citation Graph (0, 0)][DBLP ] Conf ] Hajime Kimura , Shigenobu Kobayashi An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. [Citation Graph (0, 0)][DBLP ] Conf ] Daphne Koller , Raya Fratkina Using Learning for Approximation in Stochastic Processes. [Citation Graph (0, 0)][DBLP ] Conf ] Dekang Lin An Information-Theoretic Definition of Similarity. [Citation Graph (0, 0)][DBLP ] Conf ] Michel Liquiere , Jean Sallantin Structural Machine Learning with Galois Lattice and Graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Michael L. Littman , Fan Jiang , Greg A. Keim Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus. [Citation Graph (0, 0)][DBLP ] Conf ] John Loch , Satinder P. Singh Using Eligibility Traces to Find the Best Memoryless Policy in Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP ] Conf ] Dimitris Margaritis , Sebastian Thrun Learning to Locate an Object in 3D Space from a Sequence of Camera Images. [Citation Graph (0, 0)][DBLP ] Conf ] Oded Maron , Aparna Lakshmi Ratan Multiple-Instance Learning for Natural Scene Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew McCallum , Kamal Nigam Employing EM and Pool-Based Active Learning for Text Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew McCallum , Ronald Rosenfeld , Tom M. Mitchell , Andrew Y. Ng Improving Text Classification by Shrinkage in a Hierarchy of Classes. [Citation Graph (0, 0)][DBLP ] Conf ] T. L. McCluskey , Margaret Mary West A Case Study in the Use of Theory Revision in Requirements Validation. [Citation Graph (0, 0)][DBLP ] Conf ] Sanya Mitaim , Bart Kosko Stochastic Resonance with Adaptive Fuzzy Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. Moore , Jeff G. Schneider , Justin A. Boyan , Mary S. Lee Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Atsuyoshi Nakamura , Naoki Abe Collaborative Filtering Using Weighted Majority Prediction Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Y. Ng On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Richard Nock , Pascal Jappy On the Power of Decision Lists. [Citation Graph (0, 0)][DBLP ] Conf ] Mark D. Pendrith , Michael McGarity An Analysis of Direct Reinforcement Learning in Non-Markovian Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Justus H. Piater , Paul R. Cohen , Xiaoqin Zhang , Michael Atighetchi A Randomized ANOVA Procedure for Comparing Performance Curves. [Citation Graph (0, 0)][DBLP ] Conf ] Doina Precup , Paul E. Utgoff Classification Using Phi-Machines and Constructive Function Approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Foster J. Provost , Tom Fawcett , Ron Kohavi The Case against Accuracy Estimation for Comparing Induction Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Sowmya Ramachandran , Raymond J. Mooney Theory Refinement of Bayesian Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP ] Conf ] Jette Randløv , Preben Alstrøm Learning to Drive a Bicycle Using Reinforcement Learning and Shaping. [Citation Graph (0, 0)][DBLP ] Conf ] Chandra Reddy , Prasad Tadepalli Learning First-Order Acyclic Horn Programs from Entailment. [Citation Graph (0, 0)][DBLP ] Conf ] Malcolm R. K. Ryan , Mark D. Pendrith RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rafal Salustowicz , Jürgen Schmidhuber Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. [Citation Graph (0, 0)][DBLP ] Conf ] Ken Samuel , Sandra Carberry , K. Vijay-Shanker An Investigation of Transformation-Based Learning in Discourse. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence K. Saul Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time. [Citation Graph (0, 0)][DBLP ] Conf ] Craig Saunders , Alexander Gammerman , Volodya Vovk Ridge Regression Learning Algorithm in Dual Variables. [Citation Graph (0, 0)][DBLP ] Conf ] Jeff G. Schneider , Justin A. Boyan , Andrew W. Moore Value Function Based Production Scheduling. [Citation Graph (0, 0)][DBLP ] Conf ] Hagit Shatkay , Leslie Pack Kaelbling Heading in the Right Direction. [Citation Graph (0, 0)][DBLP ] Conf ] W. Nick Street A Neural Network Model for Prognostic Prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Joshua M. Stuart , Elizabeth Bradley Learning the Grammar of Dance. [Citation Graph (0, 0)][DBLP ] Conf ] Richard S. Sutton , Doina Precup , Satinder P. Singh Intra-Option Learning about Temporally Abstract Actions. [Citation Graph (0, 0)][DBLP ] Conf ] Gheorghe Tecuci , Harry Keeling Teaching an Agent to Test Students. [Citation Graph (0, 0)][DBLP ] Conf ] Gary M. Weiss , Haym Hirsh The Problem with Noise and Small Disjuncts. [Citation Graph (0, 0)][DBLP ] Conf ] 