The SCEAS System
Navigation Menu

Conferences in DBLP

European Conference on Machine Learning (ECML) (ecml)
2001 (conf/ecml/2001)

  1. Hassan Aït-Kaci, Yutaka Sasaki
    An Axiomatic Approach to Feature Term Generalization. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:1-12 [Conf]
  2. Eva Armengol, Enric Plaza
    Lazy Induction of Descriptions for Relational Case-Based Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:13-24 [Conf]
  3. Hilan Bensusan, Alexandros Kalousis
    Estimating the Predictive Accuracy of a Classifier. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:25-36 [Conf]
  4. Rui Camacho, Pavel Brazdil
    Improving the Robustness and Encoding Complexity of Behavioural Clones. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:37-48 [Conf]
  5. Yann Chevaleyre, Jean-Daniel Zucker
    A Framework for Learning Rules from Multiple Instance Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:49-60 [Conf]
  6. Boris Chidlovskii
    Wrapping Web Information Providers by Transducer Induction. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:61-72 [Conf]
  7. Fredrik A. Dahl, Ole Martin Halck
    Learning While Exploring: Bridging the Gaps in the Eligibility Traces. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:73-84 [Conf]
  8. Fredrik A. Dahl
    A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:85-96 [Conf]
  9. Kurt Driessens, Jan Ramon, Hendrik Blockeel
    Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:97-108 [Conf]
  10. Günther Eibl, Karl Peter Pfeiffer
    Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:109-120 [Conf]
  11. Ran El-Yaniv, Oren Souroujon
    Iterative Double Clustering for Unsupervised and Semi-supervised Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:121-132 [Conf]
  12. Tapio Elomaa, Matti Kääriäinen
    On the Practice of Branching Program Boosting. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:133-144 [Conf]
  13. Eibe Frank, Mark Hall
    A Simple Approach to Ordinal Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:145-156 [Conf]
  14. Marcus Gallagher
    Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:157-166 [Conf]
  15. Jean-Gabriel Ganascia
    Extraction of Recurrent Patterns from Stratified Ordered Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:167-178 [Conf]
  16. Ashutosh Garg, Dan Roth
    Understanding Probabilistic Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:179-191 [Conf]
  17. Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
    Efficiently Determining the Starting Sample Size for Progressive Sampling. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:192-202 [Conf]
  18. Achim G. Hoffmann, Rex Bing Hung Kwok, Paul Compton
    Using Subclasses to Improve Classification Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:203-213 [Conf]
  19. Thomas Hofmann
    Learning What People (Don't) Want. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:214-225 [Conf]
  20. Marcus Hutter
    Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:226-238 [Conf]
  21. Marcus Hutter
    Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:239-250 [Conf]
  22. Branko Kavsek, Nada Lavrac, Anuska Ferligoj
    Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:251-262 [Conf]
  23. Daniel Keysers, Wolfgang Macherey, Jörg Dahmen, Hermann Ney
    Learning of Variability for Invariant Statistical Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:263-275 [Conf]
  24. Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes
    The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:276-287 [Conf]
  25. Wojciech Kwedlo, Marek Kretowski
    An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:288-299 [Conf]
  26. Martin Lauer
    A Mixture Approach to Novelty Detection Using Training Data with Outliers. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:300-311 [Conf]
  27. Martin H. C. Law, James T. Kwok
    Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:312-323 [Conf]
  28. Carlos Eduardo Mariano, Eduardo F. Morales
    DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:324-335 [Conf]
  29. Lionel Martin, Frédéric Moal
    A Language-Based Similarity Measure. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:336-347 [Conf]
  30. Victor Medina-Chico, Alberto Suárez, James F. Lutsko
    Backpropagation in Decision Trees for Regression. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:348-359 [Conf]
  31. Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk
    Comparing the Bayes and Typicalness Frameworks. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:360-371 [Conf]
  32. Jason H. Moore, Joel S. Parker, Lance W. Hahn
    Symbolic Discriminant Analysis for Mining Gene Expression Patterns. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:372-381 [Conf]
  33. Ann Nowé, Johan Parent, Katja Verbeeck
    Social Agents Playing a Periodical Policy. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:382-393 [Conf]
  34. Santiago Ontañón, Enric Plaza
    Learning When to Collaborate among Learning Agents. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:394-405 [Conf]
  35. Thomas Ragg
    Building Committees by Clustering Models Based on Pairwise Similarity Values. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:406-418 [Conf]
  36. Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
    Second Order Features for Maximising Text Classification Performance. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:419-430 [Conf]
  37. José L. Sanz-González, Diego Andina
    Importance Sampling Techniques in Neural Detector Training. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:431-441 [Conf]
  38. Dorian Suc, Ivan Bratko
    Induction of Qualitative Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:442-453 [Conf]
  39. Hirotoshi Taira, Masahiko Haruno
    Text Categorization Using Transductive Boosting. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:454-465 [Conf]
  40. Lappoon R. Tang, Raymond J. Mooney
    Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:466-477 [Conf]
  41. Ljupco Todorovski, Saso Dzeroski
    Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:478-490 [Conf]
  42. Peter D. Turney
    Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:491-502 [Conf]
  43. Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish
    A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:503-514 [Conf]
  44. Jordi Vivaldi, Lluís Màrquez, Horacio Rodríguez
    Improving Term Extraction by System Combination Using Boosting. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:515-526 [Conf]
  45. Slobodan Vucetic, Zoran Obradovic
    Classification on Data with Biased Class Distribution. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:527-538 [Conf]
  46. Takashi Washio, Hiroshi Motoda, Yuji Niwa
    Discovering Admissible Simultaneous Equation Models from Observed Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:539-551 [Conf]
  47. Gerhard Widmer
    Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:552-563 [Conf]
  48. Ying Yang, Geoffrey I. Webb
    Proportional k-Interval Discretization for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:564-575 [Conf]
  49. Gabriele Zenobi, Padraig Cunningham
    Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:576-587 [Conf]
  50. Huajie Zhang, Charles X. Ling
    Geometric Properties of Naive Bayes in Nominal Domains. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:588-599 [Conf]
  51. Thomas G. Dietterich, Xin Wang
    Support Vectors for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:600- [Conf]
  52. Heikki Mannila
    Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:601- [Conf]
  53. Antony Unwin
    Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:602- [Conf]
  54. Gerhard Widmer
    The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:603-614 [Conf]
  55. Stefan Wrobel
    Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:615- [Conf]
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002