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Conferences in DBLP

European Conference on Machine Learning (ECML) (ecml)
2007 (conf/ecml/2007)

  1. David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu
    Statistical Debugging Using Latent Topic Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:6-17 [Conf]
  2. Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini
    Learning Balls of Strings with Correction Queries. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:18-29 [Conf]
  3. Paul N. Bennett
    Neighborhood-Based Local Sensitivity. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:30-41 [Conf]
  4. Steffen Börm, Jochen Garcke
    Approximating Gaussian Processes with H2-Matrices. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:42-53 [Conf]
  5. Laurent Boyer 0002, Amaury Habrard, Marc Sebban
    Learning Metrics Between Tree Structured Data: Application to Image Recognition. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:54-66 [Conf]
  6. John Burge, Terran Lane
    Shrinkage Estimator for Bayesian Network Parameters. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:67-78 [Conf]
  7. Xiongcai Cai, Arcot Sowmya
    Level Learning Set: A Novel Classifier Based on Active Contour Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:79-90 [Conf]
  8. Jérôme Callut, Pierre Dupont
    Learning Partially Observable Markov Models from First Passage Times. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:91-103 [Conf]
  9. Michael Connor, Dan Roth
    Context Sensitive Paraphrasing with a Global Unsupervised Classifier. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:104-115 [Conf]
  10. Meryem Pinar Dönmez, Jaime G. Carbonell, Paul N. Bennett
    Dual Strategy Active Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:116-127 [Conf]
  11. Kenneth Dwyer, Robert Holte
    Decision Tree Instability and Active Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:128-139 [Conf]
  12. Derek Greene, Padraig Cunningham
    Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:140-151 [Conf]
  13. Thomas Gärtner, Gemma C. Garriga
    The Cost of Learning Directed Cuts. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:152-163 [Conf]
  14. Tony Jebara, Yingbo Song, Kapil Thadani
    Spectral Clustering and Embedding with Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:164-175 [Conf]
  15. Angelika Kimmig, Luc De Raedt, Hannu Toivonen
    Probabilistic Explanation Based Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:176-187 [Conf]
  16. Gregory Kuhlmann, Peter Stone
    Graph-Based Domain Mapping for Transfer Learning in General Games. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:188-200 [Conf]
  17. Xiaoli Li, Bing Liu, See-Kiong Ng
    Learning to Classify Documents with Only a Small Positive Training Set. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:201-213 [Conf]
  18. Xiao-Lin Li, Zhi-Hua Zhou
    Structure Learning of Probabilistic Relational Models from Incomplete Relational Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:214-225 [Conf]
  19. Dimitrios Mavroeidis, Michalis Vazirgiannis
    Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:226-237 [Conf]
  20. Andreas Nägele, Mathäus Dejori, Martin Stetter
    Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:238-249 [Conf]
  21. Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
    Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:250-261 [Conf]
  22. Sunho Park, Seungjin Choi
    Source Separation with Gaussian Process Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:262-273 [Conf]
  23. Elisa Ricci, Tijl De Bie, Nello Cristianini
    Discriminative Sequence Labeling by Z-Score Optimization. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:274-285 [Conf]
  24. Mark Schmidt, Glenn Fung, Rómer Rosales
    Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:286-297 [Conf]
  25. Matthias Seeger, Sebastian Gerwinn, Matthias Bethge
    Bayesian Inference for Sparse Generalized Linear Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:298-309 [Conf]
  26. David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana
    Classifier Loss Under Metric Uncertainty. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:310-322 [Conf]
  27. Daria Sorokina, Rich Caruana, Mirek Riedewald
    Additive Groves of Regression Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:323-334 [Conf]
  28. Alessandro Sperduti
    Efficient Computation of Recursive Principal Component Analysis for Structured Input. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:335-346 [Conf]
  29. Harald Steck
    Hinge Rank Loss and the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:347-358 [Conf]
  30. Jan Struyf, Saso Dzeroski
    Clustering Trees with Instance Level Constraints. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:359-370 [Conf]
  31. Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier
    On Pairwise Naive Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:371-381 [Conf]
  32. Rikiya Takahashi
    Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:382-393 [Conf]
  33. Stephan Timmer, Martin Riedmiller
    Safe Q-Learning on Complete History Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:394-405 [Conf]
  34. Grigorios Tsoumakas, Ioannis P. Vlahavas
    Random k -Labelsets: An Ensemble Method for Multilabel Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:406-417 [Conf]
  35. Anneleen Van Assche, Hendrik Blockeel
    Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:418-429 [Conf]
  36. Alexander Vezhnevets, Olga Barinova
    Avoiding Boosting Overfitting by Removing Confusing Samples. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:430-441 [Conf]
  37. Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman
    Planning and Learning in Environments with Delayed Feedback. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:442-453 [Conf]
  38. Wei Wang, Zhi-Hua Zhou
    Analyzing Co-training Style Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:454-465 [Conf]
  39. Daan Wierstra, Jürgen Schmidhuber
    Policy Gradient Critics. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:466-477 [Conf]
  40. Shaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez
    An Improved Model Selection Heuristic for AUC. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:478-489 [Conf]
  41. Fei Zheng, Geoffrey I. Webb
    Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:490-501 [Conf]
  42. Annalisa Appice, Saso Dzeroski
    Stepwise Induction of Multi-target Model Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:502-509 [Conf]
  43. Paulo J. Azevedo, Alípio Mário Jorge
    Comparing Rule Measures for Predictive Association Rules. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:510-517 [Conf]
  44. Korinna Bade, Marcel Hermkes, Andreas Nürnberger
    User Oriented Hierarchical Information Organization and Retrieval. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:518-526 [Conf]
  45. Sabri Bayoudh, Harold Mouchère, Laurent Miclet, Éric Anquetil
    Learning a Classifier with Very Few Examples: Analogy Based and Knowledge Based Generation of New Examples for Character Recognition. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:527-534 [Conf]
  46. Steven Busuttil, Yuri Kalnishkan
    Weighted Kernel Regression for Predicting Changing Dependencies. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:535-542 [Conf]
  47. András Bánhalmi, András Kocsor, Róbert Busa-Fekete
    Counter-Example Generation-Based One-Class Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:543-550 [Conf]
  48. Mumin Cebe, Cigdem Gunduz Demir
    Test-Cost Sensitive Classification Based on Conditioned Loss Functions. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:551-558 [Conf]
  49. Xiangyu Duan, Jun Zhao, Bo Xu
    Probabilistic Models for Action-Based Chinese Dependency Parsing. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:559-566 [Conf]
  50. Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
    Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:567-574 [Conf]
  51. Peter A. Flach, Edson Takashi Matsubara
    A Simple Lexicographic Ranker and Probability Estimator. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:575-582 [Conf]
  52. Eyke Hüllermeier, Johannes Fürnkranz
    On Minimizing the Position Error in Label Ranking. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:583-590 [Conf]
  53. Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls
    On Phase Transitions in Learning Sparse Networks. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:591-599 [Conf]
  54. Rong Jin, Ming Wu, Rahul Sukthankar
    Semi-supervised Collaborative Text Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:600-607 [Conf]
  55. Samuel Kaski, Jaakko Peltonen
    Learning from Relevant Tasks Only. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:608-615 [Conf]
  56. Alexandre Klementiev, Dan Roth, Kevin Small
    An Unsupervised Learning Algorithm for Rank Aggregation. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:616-623 [Conf]
  57. Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
    Ensembles of Multi-Objective Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:624-631 [Conf]
  58. Tilman Lange, Joachim M. Buhmann
    Kernel-Based Grouping of Histogram Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:632-639 [Conf]
  59. R. Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl
    Active Class Selection. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:640-647 [Conf]
  60. Francis Maes, Ludovic Denoyer, Patrick Gallinari
    Sequence Labeling with Reinforcement Learning and Ranking Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:648-657 [Conf]
  61. Sang-Hyeun Park, Johannes Fürnkranz
    Efficient Pairwise Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:658-665 [Conf]
  62. Jin Hyeong Park, Chandan K. Reddy
    Scale-Space Based Weak Regressors for Boosting. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:666-673 [Conf]
  63. Dan Pelleg, Dorit Baras
    K -Means with Large and Noisy Constraint Sets. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:674-682 [Conf]
  64. Katharina Probst, Rayid Ghani
    Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:683-690 [Conf]
  65. Tapani Raiko, Alexander Ilin, Juha Karhunen
    Principal Component Analysis for Large Scale Problems with Lots of Missing Values. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:691-698 [Conf]
  66. Jan Ramon, Kurt Driessens, Tom Croonenborghs
    Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:699-707 [Conf]
  67. Umaa Rebbapragada, Carla E. Brodley
    Class Noise Mitigation Through Instance Weighting. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:708-715 [Conf]
  68. Ulrich Rückert, Stefan Kramer
    Optimizing Feature Sets for Structured Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:716-723 [Conf]
  69. Victor S. Sheng, Charles X. Ling
    Roulette Sampling for Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:724-731 [Conf]
  70. Tomás Singliar, Milos Hauskrecht
    Modeling Highway Traffic Volumes. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:732-739 [Conf]
  71. Zoltán Szabó, Barnabás Póczos, András Lörincz
    Undercomplete Blind Subspace Deconvolution Via Linear Prediction. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:740-747 [Conf]
  72. Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
    Learning an Outlier-Robust Kalman Filter. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:748-756 [Conf]
  73. Deepak Verma, Rajesh P. N. Rao
    Imitation Learning Using Graphical Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:757-764 [Conf]
  74. Marcin Wojnarski
    Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:765-772 [Conf]
  75. Liang Xiong, Fei Wang, Changshui Zhang
    Semi-definite Manifold Alignment. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:773-781 [Conf]
  76. Qubo You, Nanning Zheng, Shaoyi Du, Yang Wu
    General Solution for Supervised Graph Embedding. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:782-789 [Conf]
  77. Amelia Zafra, Sebastián Ventura
    Multi-objective Genetic Programming for Multiple Instance Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:790-797 [Conf]
  78. Monika Záková, Filip Zelezný
    Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:798-805 [Conf]
NOTICE1
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NOTICE2
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