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Publication search results
found 56 matches
- 2001
- Hassan Aït-Kaci, Yutaka Sasaki:
An Axiomatic Approach to Feature Term Generalization. ECML 2001: 1-12 - Eva Armengol, Enric Plaza:
Lazy Induction of Descriptions for Relational Case-Based Learning. ECML 2001: 13-24 - Hilan Bensusan, Alexandros Kalousis:
Estimating the Predictive Accuracy of a Classifier. ECML 2001: 25-36 - Rui Camacho, Pavel Brazdil:
Improving the Robustness and Encoding Complexity of Behavioural Clones. ECML 2001: 37-48 - Yann Chevaleyre, Jean-Daniel Zucker:
A Framework for Learning Rules from Multiple Instance Data. ECML 2001: 49-60 - Boris Chidlovskii:
Wrapping Web Information Providers by Transducer Induction. ECML 2001: 61-72 - Fredrik A. Dahl:
A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker. ECML 2001: 85-96 - Fredrik A. Dahl, Ole Martin Halck:
Learning While Exploring: Bridging the Gaps in the Eligibility Traces. ECML 2001: 73-84 - Thomas G. Dietterich, Xin Wang:
Support Vectors for Reinforcement Learning. ECML 2001: 600 - Kurt Driessens, Jan Ramon, Hendrik Blockeel:
Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. ECML 2001: 97-108 - Günther Eibl, Karl Peter Pfeiffer:
Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example. ECML 2001: 109-120 - Ran El-Yaniv, Oren Souroujon:
Iterative Double Clustering for Unsupervised and Semi-supervised Learning. ECML 2001: 121-132 - Tapio Elomaa, Matti Kääriäinen:
On the Practice of Branching Program Boosting. ECML 2001: 133-144 - Eibe Frank, Mark A. Hall:
A Simple Approach to Ordinal Classification. ECML 2001: 145-156 - Marcus Gallagher:
Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem. ECML 2001: 157-166 - Jean-Gabriel Ganascia:
Extraction of Recurrent Patterns from Stratified Ordered Trees. ECML 2001: 167-178 - Ashutosh Garg, Dan Roth:
Understanding Probabilistic Classifiers. ECML 2001: 179-191 - Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determining the Starting Sample Size for Progressive Sampling. ECML 2001: 192-202 - Achim G. Hoffmann, Rex Bing Hung Kwok, Paul Compton:
Using Subclasses to Improve Classification Learning. ECML 2001: 203-213 - Thomas Hofmann:
Learning What People (Don't) Want. ECML 2001: 214-225 - Marcus Hutter:
Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions. ECML 2001: 226-238 - Marcus Hutter:
Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences. ECML 2001: 239-250 - Branko Kavsek, Nada Lavrac, Anuska Ferligoj:
Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction. ECML 2001: 251-262 - Daniel Keysers, Wolfgang Macherey, Jörg Dahmen, Hermann Ney:
Learning of Variability for Invariant Statistical Pattern Recognition. ECML 2001: 263-275 - Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes:
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. ECML 2001: 276-287 - Wojciech Kwedlo, Marek Kretowski:
An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning. ECML 2001: 288-299 - Martin Lauer:
A Mixture Approach to Novelty Detection Using Training Data with Outliers. ECML 2001: 300-311 - Martin H. C. Law, James T. Kwok:
Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. ECML 2001: 312-323 - Heikki Mannila:
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. ECML 2001: 601 - Carlos Eduardo Mariano, Eduardo F. Morales:
DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning. ECML 2001: 324-335
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