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ORCID15th ECML 2004: Pisa, Italy
- Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi:
Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings. Lecture Notes in Computer Science 3201, Springer 2004, ISBN 3-540-23105-6
Invited Papers
- Dimitris Achlioptas:
Random Matrices in Data Analysis. 1-7 - Rakesh Agrawal:
Data Privacy. 8 - Soumen Chakrabarti:
Breaking Through the Syntax Barrier: Searching with Entities and Relations. 9-16 - Pedro M. Domingos:
Real-World Learning with Markov Logic Networks. 17 - David J. Hand:
Strength in Diversity: The Advance of Data Analysis. 18-26
Contributed Papers
- Douglas Aberdeen:
Filtered Reinforcement Learning. 27-38 - Rehan Akbani, Stephen Kwek, Nathalie Japkowicz
:
Applying Support Vector Machines to Imbalanced Datasets. 39-50 - Isabelle Alvarez:
Sensitivity Analysis of the Result in Binary Decision Trees. 51-62 - Peter Auer, Ronald Ortner:
A Boosting Approach to Multiple Instance Learning. 63-74 - Avi Bab, Ronen I. Brafman:
An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games. 75-86 - Steffen Bickel, Tobias Scheffer:
Learning from Message Pairs for Automatic Email Answering. 87-98 - Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro:
Concept Formation in Expressive Description Logics. 99-110 - Aidan Finn, Nicholas Kushmerick:
Multi-level Boundary Classification for Information Extraction. 111-122 - Johannes Fürnkranz, Peter A. Flach:
An Analysis of Stopping and Filtering Criteria for Rule Learning. 123-133 - Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schmidhuber:
Adaptive Online Time Allocation to Search Algorithms. 134-143 - Bernhard Hengst:
Model Approximation for HEXQ Hierarchical Reinforcement Learning. 144-155 - Andreas Heß, Nicholas Kushmerick:
Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services. 156-167 - Pieter Jan't Hoen, Karl Tuyls:
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics. 168-179 - Tobias Jung, Thomas Uthmann:
Experiments in Value Function Approximation with Sparse Support Vector Regression. 180-191 - Mohammed Waleed Kadous, Claude Sammut:
Constructive Induction for Classifying Time Series. 192-204 - Kristian Kersting, Thomas Gärtner:
Fisher Kernels for Logical Sequences. 205-216 - Bryan Klimt, Yiming Yang:
The Enron Corpus: A New Dataset for Email Classification Research. 217-226 - András Kocsor, Kornél Kovács, Csaba Szepesvári:
Margin Maximizing Discriminant Analysis. 227-238 - Mark Last:
Multi-objective Classification with Info-Fuzzy Networks. 239-249 - Rui Leite, Pavel Brazdil:
Improving Progressive Sampling via Meta-learning on Learning Curves. 250-261 - Tony Lindgren:
Methods for Rule Conflict Resolution. 262-273 - Han Liu, Xiaobin Yuan, Qianying Tang, Rafal Kustra:
An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk. 274-285 - Oscar Luaces, Gustavo F. Bayón, José Ramón Quevedo, Jorge Díez, Juan José del Coz, Antonio Bahamonde:
Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection. 286-297 - Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zhang:
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework. 298-309 - Santiago Ontañón, Enric Plaza:
Justification-Based Selection of Training Examples for Case Base Reduction. 310-321 - Satoshi Oyama, Christopher D. Manning:
Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers. 322-333 - Predrag Radivojac, Zoran Obradovic, A. Keith Dunker, Slobodan Vucetic:
Feature Selection Filters Based on the Permutation Test. 334-346 - Bohdana Ratitch, Doina Precup:
Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning. 347-358 - Marko Robnik-Sikonja:
Improving Random Forests. 359-370 - Marco Saerens, François Fouss, Luh Yen, Pierre Dupont:
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. 371-383 - Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer:
Using String Kernels to Identify Famous Performers from Their Playing Style. 384-395 - Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski:
Associative Clustering. 396-406 - Dorian Suc, Ivan Bratko, Claude Sammut:
Learning to Fly Simple and Robust. 407-418 - Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu, Fei Xiao:
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data. 419-428 - Kai Ming Ting:
Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees. 429-440 - Ljupco Todorovski, Peter Ljubic, Saso Dzeroski:
Inducing Polynomial Equations for Regression. 441-452 - Ivor W. Tsang, James T. Kwok:
Efficient Hyperkernel Learning Using Second-Order Cone Programming. 453-464 - Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas:
Effective Voting of Heterogeneous Classifiers. 465-476 - Marco A. Wiering:
Convergence and Divergence in Standard and Averaging Reinforcement Learning. 477-488 - Xiaoyun Wu, Rohini K. Srihari, Zhaohui Zheng:
Document Representation for One-Class SVM. 489-500 - Harry Zhang, Jiang Su:
Naive Bayesian Classifiers for Ranking. 501-512 - Harry Zhang, Jiang Su:
Conditional Independence Trees. 513-524 - Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang:
Exploiting Unlabeled Data in Content-Based Image Retrieval. 525-536 - Kenny Qili Zhu, Ziwei Liu:
Population Diversity in Permutation-Based Genetic Algorithm. 537-547 - Jacobus van Zyl, Ian Cloete:
Simultaneous Concept Learning of Fuzzy Rules. 548-559
Posters
- Rong Jin, Huan Liu:
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data. 560-562 - Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
Estimating Attributed Central Orders: An Empirical Comparison. 563-565 - Lihong Li, Vadim Bulitko, Russell Greiner:
Batch Reinforcement Learning with State Importance. 566-568 - Jan Poland:
Explicit Local Models: Towards "Optimal" Optimization Algorithms. 569-571 - Xiang Zhang, Bernd Kuhlenkötter, Klaus Kneupner:
An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes. 572-574 - Albrecht Zimmermann, Luc De Raedt:
Cluster-Grouping: From Subgroup Discovery to Clustering. 575-577
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