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Conferences in DBLP

European Conference on Machine Learning (ECML) (ecml)
2006 (conf/ecml/2006)

  1. Alon Altman, Avivit Bercovici-Boden, Moshe Tennenholtz
    Learning in One-Shot Strategic Form Games. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:6-17 [Conf]
  2. Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari
    A Selective Sampling Strategy for Label Ranking. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:18-29 [Conf]
  3. Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller
    Combinatorial Markov Random Fields. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:30-41 [Conf]
  4. Marc Bernard, Amaury Habrard, Marc Sebban
    Learning Stochastic Tree Edit Distance. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:42-53 [Conf]
  5. Christopher H. Bryant, Daniel Fredouille, Alex Wilson, Channa K. Jayawickreme, Steven Jupe, Simon Topp
    Pertinent Background Knowledge for Learning Protein Grammars. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:54-65 [Conf]
  6. John Burge, Terran Lane
    Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:66-77 [Conf]
  7. Jérôme Callut, Pierre Dupont
    Sequence Discrimination Using Phase-Type Distributions. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:78-89 [Conf]
  8. Alexander Clark, Christophe Costa Florêncio, Chris Watkins
    Languages as Hyperplanes: Grammatical Inference with String Kernels. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:90-101 [Conf]
  9. Gerald DeJong
    Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:102-113 [Conf]
  10. Uwe Dick, Kristian Kersting
    Fisher Kernels for Relational Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:114-125 [Conf]
  11. William Elazmeh, Nathalie Japkowicz, Stan Matwin
    Evaluating Misclassifications in Imbalanced Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:126-137 [Conf]
  12. Raquel Fuentetaja, Daniel Borrajo
    Improving Control-Knowledge Acquisition for Planning by Active Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:138-149 [Conf]
  13. Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup
    PAC-Learning of Markov Models with Hidden State. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:150-161 [Conf]
  14. David Grangier, Florent Monay, Samy Bengio
    A Discriminative Approach for the Retrieval of Images from Text Queries. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:162-173 [Conf]
  15. Bernd Gutmann, Kristian Kersting
    TildeCRF: Conditional Random Fields for Logical Sequences. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:174-185 [Conf]
  16. Corneliu Henegar, Karine Clément, Jean-Daniel Zucker
    Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:186-197 [Conf]
  17. Aleks Jakulin, Irina Rish
    Bayesian Learning of Markov Network Structure. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:198-209 [Conf]
  18. Sébastien Jodogne, Cyril Briquet, Justus H. Piater
    Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:210-221 [Conf]
  19. Sébastien Jodogne, Justus H. Piater
    Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:222-233 [Conf]
  20. Rasa Jurgelenaite, Tom Heskes
    EM Algorithm for Symmetric Causal Independence Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:234-245 [Conf]
  21. Ata Kabán, Xin Wang
    Deconvolutive Clustering of Markov States. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:246-257 [Conf]
  22. Min Sub Kim, William T. B. Uther
    Patching Approximate Solutions in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:258-269 [Conf]
  23. Nathaniel J. King, Neil D. Lawrence
    Fast Variational Inference for Gaussian Process Models Through KL-Correction. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:270-281 [Conf]
  24. Levente Kocsis, Csaba Szepesvári
    Bandit Based Monte-Carlo Planning. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:282-293 [Conf]
  25. Jussi Kollin, Mikko Koivisto
    Bayesian Learning with Mixtures of Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:294-305 [Conf]
  26. Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun
    Transductive Gaussian Process Regression with Automatic Model Selection. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:306-317 [Conf]
  27. Alessandro Moschitti
    Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:318-329 [Conf]
  28. Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko
    Why Is Rule Learning Optimistic and How to Correct It. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:330-340 [Conf]
  29. Gisele L. Pappa, Alex Alves Freitas
    Automatically Evolving Rule Induction Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:341-352 [Conf]
  30. Tobias Pfingsten
    Bayesian Active Learning for Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:353-364 [Conf]
  31. Roberto Santana, Pedro Larrañaga, José Antonio Lozano
    Mixtures of Kikuchi Approximations. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:365-376 [Conf]
  32. Martin Scholz
    Boosting in PN Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:377-388 [Conf]
  33. Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
    Prioritizing Point-Based POMDP Solvers. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:389-400 [Conf]
  34. HyunJung Shin, N. Jeremy Hill, Gunnar Rätsch
    Graph Based Semi-supervised Learning with Sharper Edges. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:401-412 [Conf]
  35. Dan Roth, Kevin Small
    Margin-Based Active Learning for Structured Output Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:413-424 [Conf]
  36. Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
    Skill Acquisition Via Transfer Learning and Advice Taking. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:425-436 [Conf]
  37. Petroula Tsampouka, John Shawe-Taylor
    Constant Rate Approximate Maximum Margin Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:437-448 [Conf]
  38. Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao
    Batch Classification with Applications in Computer Aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:449-460 [Conf]
  39. Bin Wang, Harry Zhang
    Improving the Ranking Performance of Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:461-472 [Conf]
  40. Dong Wang, Jianmin Li, Bo Zhang
    Multiple-Instance Learning Via Random Walk. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:473-484 [Conf]
  41. Michael Wurst, Katharina Morik, Ingo Mierswa
    Localized Alternative Cluster Ensembles for Collaborative Structuring. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:485-496 [Conf]
  42. Xiao-Bing Xue, Zhi-Hua Zhou
    Distributional Features for Text Categorization. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:497-508 [Conf]
  43. Bojun Yan, Carlotta Domeniconi
    Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:509-520 [Conf]
  44. Bojun Yan, Carlotta Domeniconi
    An Adaptive Kernel Method for Semi-supervised Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:521-532 [Conf]
  45. Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
    To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:533-544 [Conf]
  46. Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh
    Ensembles of Nearest Neighbor Forecasts. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:545-556 [Conf]
  47. Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett
    Learning Process Models with Missing Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:557-565 [Conf]
  48. Klaus Brinker, Eyke Hüllermeier
    Case-Based Label Ranking. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:566-573 [Conf]
  49. Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet
    Cascade Evaluation of Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:574-581 [Conf]
  50. Michael Carney, Padraig Cunningham
    Making Good Probability Estimates for Regression. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:582-589 [Conf]
  51. Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Ying Ma
    Fast Spectral Clustering of Data Using Sequential Matrix Compression. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:590-597 [Conf]
  52. Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
    An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:598-605 [Conf]
  53. Trevor Cohn
    Efficient Inference in Large Conditional Random Fields. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:606-613 [Conf]
  54. Juan C. Cuevas-Tello, Peter Tiño, Somak Raychaudhury
    A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:614-621 [Conf]
  55. Jason V. Davis, Jungwoo Ha, Christopher J. Rossbach, Hany E. Ramadan, Emmett Witchel
    Cost-Sensitive Decision Tree Learning for Forensic Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:622-629 [Conf]
  56. Alexander N. Dolia, Tijl De Bie, Christopher J. Harris, John Shawe-Taylor, D. M. Titterington
    The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:630-637 [Conf]
  57. Byron J. Gao, Martin Ester
    Right of Inference: Nearest Rectangle Learning Revisited. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:638-645 [Conf]
  58. Peter Geibel
    Reinforcement Learning for MDPs with Constraints. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:646-653 [Conf]
  59. Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen
    Efficient Non-linear Control Through Neuroevolution. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:654-662 [Conf]
  60. Derek Greene, Padraig Cunningham
    Efficient Prediction-Based Validation for Document Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:663-670 [Conf]
  61. Manfred Jaeger
    On Testing the Missing at Random Assumption. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:671-678 [Conf]
  62. Tony Jebara, Vlad Shchogolev
    B-Matching for Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:679-686 [Conf]
  63. Christine Körner, Stefan Wrobel
    Multi-class Ensemble-Based Active Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:687-694 [Conf]
  64. Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
    Active Learning with Irrelevant Examples. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:695-702 [Conf]
  65. Georgi I. Nalbantov, Jan C. Bioch, Patrick J. F. Groenen
    Classification with Support Hyperplanes. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:703-710 [Conf]
  66. Kee Siong Ng
    (Agnostic) PAC Learning Concepts in Higher-Order Logic. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:711-718 [Conf]
  67. Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
    Evaluating Feature Selection for SVMs in High Dimensions. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:719-726 [Conf]
  68. Martin Nyffenegger, Jean-Cédric Chappelier, Éric Gaussier
    Revisiting Fisher Kernels for Document Similarities. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:727-734 [Conf]
  69. Scott Proper, Prasad Tadepalli
    Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:735-742 [Conf]
  70. Stefan Rüping
    Robust Probabilistic Calibration. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:743-750 [Conf]
  71. Guido Sanguinetti, Neil D. Lawrence
    Missing Data in Kernel PCA. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:751-758 [Conf]
  72. Péter Schönhofen, András A. Benczúr
    Exploiting Extremely Rare Features in Text Categorization. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:759-766 [Conf]
  73. Suvrit Sra
    Efficient Large Scale Linear Programming Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:767-774 [Conf]
  74. Jan Struyf, Jesse Davis, C. David Page Jr.
    An Efficient Approximation to Lookahead in Relational Learners. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:775-782 [Conf]
  75. Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
    Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:783-791 [Conf]
  76. Ivor W. Tsang, András Kocsor, James T. Kwok
    Diversified SVM Ensembles for Large Data Sets. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:792-800 [Conf]
  77. Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
    Dynamic Integration with Random Forests. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:801-808 [Conf]
  78. Anneleen Van Assche, Hendrik Blockeel
    Bagging Using Statistical Queries. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:809-816 [Conf]
  79. Samuel Wieczorek, Gilles Bisson, Mirta B. Gordon
    Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:817-824 [Conf]
  80. Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang
    Spline Embedding for Nonlinear Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:825-832 [Conf]
  81. Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
    Cost-Sensitive Learning of SVM for Ranking. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:833-840 [Conf]
  82. Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
    Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:841-848 [Conf]
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