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Conferences in DBLP

European Conference on Machine Learning (ECML) (ecml)
2005 (conf/ecml/2005)

  1. Liviu Badea
    Clustering and Metaclustering with Nonnegative Matrix Decompositions. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:10-22 [Conf]
  2. Christian Bessière, Remi Coletta, Frédéric Koriche, Barry O'Sullivan
    A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:23-34 [Conf]
  3. Steffen Bickel, Tobias Scheffer
    Estimation of Mixture Models Using Co-EM. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:35-46 [Conf]
  4. Matthew Brand
    Nonrigid Embeddings for Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:47-59 [Conf]
  5. Ulf Brefeld, Christoph Büscher, Tobias Scheffer
    Multi-view Discriminative Sequential Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:60-71 [Conf]
  6. Jesús Cerquides, Ramon López de Mántaras
    Robust Bayesian Linear Classifier Ensembles. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:72-83 [Conf]
  7. Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa
    An Integrated Approach to Learning Bayesian Networks of Rules. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:84-95 [Conf]
  8. Isabel Drost, Tobias Scheffer
    Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:96-107 [Conf]
  9. Arkady Epshteyn, Gerald DeJong
    Rotational Prior Knowledge for SVMs. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:108-119 [Conf]
  10. Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
    On the LearnAbility of Abstraction Theories from Observations for Relational Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:120-132 [Conf]
  11. George Forman, Ira Cohen
    Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:133-145 [Conf]
  12. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Kernel Basis Pursuit. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:146-157 [Conf]
  13. Iris Hendrickx, Antal van den Bosch
    Hybrid Algorithms with Instance-Based Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:158-169 [Conf]
  14. Aloak Kapoor, Russell Greiner
    Learning and Classifying Under Hard Budgets. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:170-181 [Conf]
  15. Wolf Kienzle, Bernhard Schölkopf
    Training Support Vector Machines with Multiple Equality Constraints. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:182-193 [Conf]
  16. Hans Kuilenburg, Marco Wiering, Marten den Uyl
    A Model Based Method for Automatic Facial Expression Recognition. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:194-205 [Conf]
  17. François Laviolette, Mario Marchand, Mohak Shah
    Margin-Sparsity Trade-Off for the Set Covering Machine. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:206-217 [Conf]
  18. Xiaoli Li, Bing Liu
    Learning from Positive and Unlabeled Examples with Different Data Distributions. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:218-229 [Conf]
  19. Shiau Hong Lim, Gerald DeJong
    Towards Finite-Sample Convergence of Direct Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:230-241 [Conf]
  20. Hsuan-Tien Lin, Ling Li
    Infinite Ensemble Learning with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:242-254 [Conf]
  21. Siwei Lyu
    A Kernel Between Unordered Sets of Data: The Gaussian Mixture Approach. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:255-267 [Conf]
  22. Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney
    Active Learning for Probability Estimation Using Jensen-Shannon Divergence. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:268-279 [Conf]
  23. Jan Peters, Sethu Vijayakumar, Stefan Schaal
    Natural Actor-Critic. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:280-291 [Conf]
  24. Detlef Prescher
    Inducing Head-Driven PCFGs with Latent Heads: Refining a Tree-Bank Grammar for Parsing. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:292-304 [Conf]
  25. Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche
    Learning (k, l)-Contextual Tree Languages for Information Extraction. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:305-316 [Conf]
  26. Martin Riedmiller
    Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:317-328 [Conf]
  27. Carsten Riggelsen
    MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:329-340 [Conf]
  28. Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
    On Discriminative Joint Density Modeling. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:341-352 [Conf]
  29. Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
    Model-Based Online Learning of POMDPs. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:353-364 [Conf]
  30. Shengli Sheng, Charles X. Ling, Qiang Yang
    Simple Test Strategies for Cost-Sensitive Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:365-376 [Conf]
  31. JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:377-388 [Conf]
  32. Daniel Szer, François Charpillet
    An Optimal Best-First Search Algorithm for Solving Infinite Horizon DEC-POMDPs. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:389-399 [Conf]
  33. Kari Torkkola, Eugene Tuv
    Ensemble Learning with Supervised Kernels. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:400-411 [Conf]
  34. Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
    Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:412-424 [Conf]
  35. Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, Véronique Masson, Chantal Gascuel
    A Distance-Based Approach for Action Recommendation. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:425-436 [Conf]
  36. Joannès Vermorel, Mehryar Mohri
    Multi-armed Bandit Algorithms and Empirical Evaluation. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:437-448 [Conf]
  37. Gang Wang, Zhihua Zhang, Frederick H. Lochovsky
    Annealed Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:449-460 [Conf]
  38. Shijun Wang, Changshui Zhang
    Network Game and Boosting. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:461-472 [Conf]
  39. Olcay Taner Yildiz, Ethem Alpaydin
    Model Selection in Omnivariate Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:473-484 [Conf]
  40. Marie desJardins, Priyang Rathod, Lise Getoor
    Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:485-496 [Conf]
  41. Steffen Bickel, Peter Haider, Tobias Scheffer
    Learning to Complete Sentences. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:497-504 [Conf]
  42. Antoine Bordes, Léon Bottou
    The Huller: A Simple and Efficient Online SVM. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:505-512 [Conf]
  43. Jérôme Callut, Pierre Dupont
    Inducing Hidden Markov Models to Model Long-Term Dependencies. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:513-521 [Conf]
  44. François Coste, Goulven Kerbellec
    A Similar Fragments Merging Approach to Learn Automata on Proteins. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:522-529 [Conf]
  45. Chris H. Q. Ding, Xiaofeng He, Horst D. Simon
    Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:530-538 [Conf]
  46. Chris Drummond, Robert C. Holte
    Severe Class Imbalance: Why Better Algorithms Aren't the Answer. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:539-546 [Conf]
  47. Tapio Elomaa, Jussi Kujala, Juho Rousu
    Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:547-555 [Conf]
  48. Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
    A Comparison of Approaches for Learning Probability Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:556-563 [Conf]
  49. George Forman
    Counting Positives Accurately Despite Inaccurate Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:564-575 [Conf]
  50. Ramunas Girdziusas, Jorma Laaksonen
    Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:576-583 [Conf]
  51. Ali Hamzeh, Adel Rahmani
    An Evolutionary Function Approximation Approach to Compute Prediction in XCSF. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:584-592 [Conf]
  52. Masoumeh T. Izadi, Doina Precup
    Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:593-600 [Conf]
  53. Robin Jaulmes, Joelle Pineau, Doina Precup
    Active Learning in Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:601-608 [Conf]
  54. Sergio Jiménez, Fernando Fernández, Daniel Borrajo
    Machine Learning of Plan Robustness Knowledge About Instances. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:609-616 [Conf]
  55. Arnaud Lallouet, Andrei Legtchenko
    Two Contributions of Constraint Programming to Machine Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:617-624 [Conf]
  56. Tao Li, Wei Peng
    A Clustering Model Based on Matrix Approximation with Applications to Cluster System Log Files. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:625-632 [Conf]
  57. Fletcher Lu, J. Efrim Boritz
    Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford's Law Distributions. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:633-640 [Conf]
  58. Ingo Mierswa, Michael Wurst
    Efficient Case Based Feature Construction. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:641-648 [Conf]
  59. Richard Nock, Frank Nielsen
    Fitting the Smallest Enclosing Bregman Ball. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:649-656 [Conf]
  60. Daniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman
    Similarity-Based Alignment and Generalization. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:657-664 [Conf]
  61. Oleg Okun, Helen Priisalu, Alexessander Alves
    Fast Non-negative Dimensionality Reduction for Protein Fold Recognition. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:665-672 [Conf]
  62. Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa
    Mode Directed Path Finding. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:673-681 [Conf]
  63. Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi, Tu Bao Ho, Yasushi Inoguchi
    Classification with Maximum Entropy Modeling of Predictive Association Rules. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:682-689 [Conf]
  64. Joaquim F. Pinto da Costa, Jaime S. Cardoso
    Classification of Ordinal Data Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:690-697 [Conf]
  65. Barnabás Póczos, Bálint Takács, András Lörincz
    Independent Subspace Analysis on Innovations. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:698-706 [Conf]
  66. Ricardo Rocha, Nuno Fonseca, Vítor Santos Costa
    On Applying Tabling to Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:707-714 [Conf]

  67. *** paper retracted by the authors *** [Learning Models of Relational Stochastic Processes]. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:715-723 [Conf]
  68. Surendra K. Singhi, Huan Liu
    Error-Sensitive Grading for Model Combination. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:724-732 [Conf]
  69. Hendrik Skubch, Michael Thielscher
    Strategy Learning for Reasoning Agents. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:733-740 [Conf]
  70. Yuk Lai Suen, Prem Melville, Raymond J. Mooney
    Combining Bias and Variance Reduction Techniques for Regression Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:741-749 [Conf]
  71. Petroula Tsampouka, John Shawe-Taylor
    Analysis of Generic Perceptron-Like Large Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:750-758 [Conf]
  72. Fang Wang, Yuhui Qiu
    Multimodal Function Optimizing by a New Hybrid Nonlinear Simplex Search and Particle Swarm Algorithm. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:759-766 [Conf]
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