default search action
12th ECML 2001: Freiburg, Germany
- Luc De Raedt
, Peter A. Flach
Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings. Lecture Notes in Computer Science 2167, Springer 2001, ISBN 3-540-42536-5
Regular Papers
- Hassan Aït-Kaci, Yutaka Sasaki:
An Axiomatic Approach to Feature Term Generalization. 1-12 - Eva Armengol, Enric Plaza
Lazy Induction of Descriptions for Relational Case-Based Learning. 13-24 - Hilan Bensusan, Alexandros Kalousis:
Estimating the Predictive Accuracy of a Classifier. 25-36 - Rui Camacho
Improving the Robustness and Encoding Complexity of Behavioural Clones. 37-48 - Yann Chevaleyre, Jean-Daniel Zucker:
A Framework for Learning Rules from Multiple Instance Data. 49-60 - Boris Chidlovskii:
Wrapping Web Information Providers by Transducer Induction. 61-72 - Fredrik A. Dahl, Ole Martin Halck:
Learning While Exploring: Bridging the Gaps in the Eligibility Traces. 73-84 - Fredrik A. Dahl:
A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker. 85-96 - Kurt Driessens, Jan Ramon, Hendrik Blockeel
Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. 97-108 - Günther Eibl, Karl Peter Pfeiffer:
Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example. 109-120 - Ran El-Yaniv, Oren Souroujon:
Iterative Double Clustering for Unsupervised and Semi-supervised Learning. 121-132 - Tapio Elomaa, Matti Kääriäinen:
On the Practice of Branching Program Boosting. 133-144 - Eibe Frank, Mark A. Hall:
A Simple Approach to Ordinal Classification. 145-156 - Marcus Gallagher:
Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem. 157-166 - Jean-Gabriel Ganascia:
Extraction of Recurrent Patterns from Stratified Ordered Trees. 167-178 - Ashutosh Garg, Dan Roth:
Understanding Probabilistic Classifiers. 179-191 - Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determining the Starting Sample Size for Progressive Sampling. 192-202 - Achim G. Hoffmann, Rex Bing Hung Kwok, Paul Compton
Using Subclasses to Improve Classification Learning. 203-213 - Thomas Hofmann:
Learning What People (Don't) Want. 214-225 - Marcus Hutter:
Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions. 226-238 - Marcus Hutter:
Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences. 239-250 - Branko Kavsek
Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction. 251-262 - Daniel Keysers, Wolfgang Macherey, Jörg Dahmen, Hermann Ney:
Learning of Variability for Invariant Statistical Pattern Recognition. 263-275 - Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes:
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. 276-287 - Wojciech Kwedlo, Marek Kretowski
An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning. 288-299 - Martin Lauer:
A Mixture Approach to Novelty Detection Using Training Data with Outliers. 300-311 - Martin H. C. Law, James T. Kwok:
Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. 312-323 - Carlos Eduardo Mariano, Eduardo F. Morales:
DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning. 324-335 - Lionel Martin, Frédéric Moal:
A Language-Based Similarity Measure. 336-347 - Victor Medina-Chico, Alberto Suárez, James F. Lutsko:
Backpropagation in Decision Trees for Regression. 348-359 - Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk:
Comparing the Bayes and Typicalness Frameworks. 360-371 - Jason H. Moore, Joel S. Parker, Lance W. Hahn:
Symbolic Discriminant Analysis for Mining Gene Expression Patterns. 372-381 - Ann Nowé, Johan Parent, Katja Verbeeck:
Social Agents Playing a Periodical Policy. 382-393 - Santiago Ontañón, Enric Plaza
Learning When to Collaborate among Learning Agents. 394-405 - Thomas Ragg:
Building Committees by Clustering Models Based on Pairwise Similarity Values. 406-418 - Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk:
Second Order Features for Maximising Text Classification Performance. 419-430 - José L. Sanz-González, Diego Andina
Importance Sampling Techniques in Neural Detector Training. 431-441 - Dorian Suc, Ivan Bratko:
Induction of Qualitative Trees. 442-453 - Hirotoshi Taira, Masahiko Haruno:
Text Categorization Using Transductive Boosting. 454-465 - Lappoon R. Tang, Raymond J. Mooney:
Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing. 466-477 - Ljupco Todorovski, Saso Dzeroski
Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery. 478-490 - Peter D. Turney:
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL. 491-502 - Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish:
A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. 503-514 - Jordi Vivaldi, Lluís Màrquez, Horacio Rodríguez:
Improving Term Extraction by System Combination Using Boosting. 515-526 - Slobodan Vucetic, Zoran Obradovic:
Classification on Data with Biased Class Distribution. 527-538 - Takashi Washio, Hiroshi Motoda, Yuji Niwa:
Discovering Admissible Simultaneous Equation Models from Observed Data. 539-551 - Gerhard Widmer:
Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy. 552-563 - Ying Yang, Geoffrey I. Webb
Proportional k-Interval Discretization for Naive-Bayes Classifiers. 564-575 - Gabriele Zenobi, Padraig Cunningham
Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error. 576-587 - Huajie Zhang, Charles X. Ling:
Geometric Properties of Naive Bayes in Nominal Domains. 588-599
Invited Papers
- Thomas G. Dietterich, Xin Wang:
Support Vectors for Reinforcement Learning. 600 - Heikki Mannila:
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. 601 - Antony Unwin:
Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining. 602 - Gerhard Widmer:
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. 603-614 - Stefan Wrobel:
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. 615
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-22 18:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: