Conferences in DBLP
Lars Asker , Richard Maclin Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher G. Atkeson , Stefan Schaal Robot Learning From Demonstration. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Auer On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Shumeet Baluja , Scott Davies Using Optimal Dependency-Trees for Combinational Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Baxter The Canonical Distortion Measure for Vector Quantization and Function Approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Botta , Attilio Giordana , Roberto Piola FONN: Combining First Order Logic with Connectionist Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Claire Cardie , Nicholas Nowe Improving Minority Class Prediction Using Case-Specific Feature Weights. [Citation Graph (0, 0)][DBLP ] Conf ] William W. Cohen , Premkumar T. Devanbu A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Piew Datta , Dennis F. Kibler Learning Symbolic Prototypes. [Citation Graph (0, 0)][DBLP ] Conf ] Scott E. Decatur PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Devaney , Ashwin Ram Efficient Feature Selection in Conceptual Clustering. [Citation Graph (1, 0)][DBLP ] Conf ] Pedro Domingos Knowledge Acquisition form Examples Vis Multiple Models. [Citation Graph (0, 0)][DBLP ] Conf ] Harris Drucker Improving Regressors using Boosting Techniques. [Citation Graph (0, 0)][DBLP ] Conf ] Claude-Nicolas Fiechter Expected Mistake Bound Model for On-Line Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Nir Friedman Learning Belief Networks in the Presence of Missing Values and Hidden Variables. [Citation Graph (0, 0)][DBLP ] Conf ] Joao Gama Probabilistic Linear Tree. [Citation Graph (0, 0)][DBLP ] Conf ] Thorsten Joachims A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. [Citation Graph (0, 0)][DBLP ] Conf ] Hajime Kimura , Kazuteru Miyazaki , Shigenobu Kobayashi Reinforcement Learning in POMDPs with Function Approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Kohavi , Clayton Kunz Option Decision Trees with Majority Votes. [Citation Graph (0, 0)][DBLP ] Conf ] Daphne Koller , Mehran Sahami Hierarchically Classifying Documents Using Very Few Words. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Kubat , Stan Matwin Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Lidia Mangu , Eric Brill Automatic Rule Acquisition for Spelling Correction. [Citation Graph (0, 0)][DBLP ] Conf ] Yishay Mansour Pessimistic decision tree pruning based Continuous-time. [Citation Graph (0, 0)][DBLP ] Conf ] Dragos D. Margineantu , Thomas G. Dietterich Pruning Adaptive Boosting. [Citation Graph (0, 0)][DBLP ] Conf ] Eddy Mayoraz , Miguel Moreira On the Decomposition of Polychotomies into Dichotomies. [Citation Graph (0, 0)][DBLP ] Conf ] Filippo Menczer ARCCHNID: Adaptive Retrieval Agents Choosing Heuristic Neighborhoods. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. Moore , Jeff G. Schneider , Kan Deng Efficient Locally Weighted Polynomial Regression Predictions. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Y. Ng Preventing "Overfitting" of Cross-Validation Data. [Citation Graph (0, 0)][DBLP ] Conf ] Tim Oates , David Jensen The Effects of Training Set Size on Decision Tree Complexity. [Citation Graph (0, 0)][DBLP ] Conf ] David W. Opitz The Effective Size of a Neural Network: A Principal Component Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Doina Precup , Richard S. Sutton Exponentiated Gradient Methods for Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Chandra Reddy , Prasad Tadepalli Learning Goal-Decomposition Rules using Exercises. [Citation Graph (0, 0)][DBLP ] Conf ] Eric Sven Ristad , Peter N. Yianilos Learning String Edit Distance. [Citation Graph (0, 0)][DBLP ] Conf ] Marko Robnik-Sikonja , Igor Kononenko An adaptation of Relief for attribute estimation in regression. [Citation Graph (0, 0)][DBLP ] Conf ] M. F. Sakr , Steven P. Levitan , Donald M. Chiarulli , Bill G. Horne , C. Lee Giles Predicting Multiprocessor Memory Access Patterns with Learning Models. [Citation Graph (0, 0)][DBLP ] Conf ] Robert E. Schapire Using output codes to boost multiclass learning problems. [Citation Graph (0, 0)][DBLP ] Conf ] Robert E. Schapire , Yoav Freund , Peter Barlett , Wee Sun Lee Boosting the margin: A new explanation for the effectiveness of voting methods. [Citation Graph (0, 0)][DBLP ] Conf ] Tobias Scheffer , Russell Greiner , Christian Darken Why Experimentation can be better than "Perfect Guidance". [Citation Graph (0, 0)][DBLP ] Conf ] Dale Schuurmans , Lyle H. Ungar , Dean P. Foster Characterizing the generalization performance of model selection strategies. [Citation Graph (0, 0)][DBLP ] Conf ] Nobuo Suematsu , Akira Hayashi , Shigang Li A Bayesian Approach to Model Learning in Non-Markovian Environments. [Citation Graph (0, 0)][DBLP ] Conf ] Prasad Tadepalli , Thomas G. Dietterich Hierarchical Explanation-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Ming Ting , Ian H. Witten Stacking Bagged and Dagged Models. [Citation Graph (0, 0)][DBLP ] Conf ] Ljupco Todorovski , Saso Dzeroski Declarative Bias in Equation Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Luís Torgo Functional Models for Regression Tree Leaves. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Vilalta , Larry A. Rendell Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. [Citation Graph (0, 0)][DBLP ] Conf ] D. Randall Wilson , Tony R. Martinez Instance Pruning Techniques. [Citation Graph (0, 0)][DBLP ] Conf ] Yiming Yang , Jan O. Pedersen A Comparative Study on Feature Selection in Text Categorization. [Citation Graph (0, 0)][DBLP ] Conf ] Blaz Zupan , Marko Bohanec , Ivan Bratko , Janez Demsar Machine Learning by Function Decomposition. [Citation Graph (0, 0)][DBLP ] Conf ] 