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Conferences in DBLP

International Conference on Machine Learning (ICML) (icml)
2004 (conf/icml/2004)

  1. Nir Krause, Yoram Singer
    Leveraging the margin more carefully. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  2. Eduardo F. Morales, Claude Sammut
    Learning to fly by combining reinforcement learning with behavioural cloning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  3. Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski
    Sequential information bottleneck for finite data. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  4. Ting Su, Jennifer G. Dy
    Automated hierarchical mixtures of probabilistic principal component analyzers. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  5. Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, Takashi Okada
    Learning first-order rules from data with multiple parts: applications on mining chemical compound data. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  6. Hieu Tat Nguyen, Arnold W. M. Smeulders
    Active learning using pre-clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  7. XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
    Decentralized detection and classification using kernel methods. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  8. Steven J. Phillips, Miroslav Dudík, Robert E. Schapire
    A maximum entropy approach to species distribution modeling. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  9. Pieter Abbeel, Andrew Y. Ng
    Apprenticeship learning via inverse reinforcement learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  10. Duncan Potts
    Incremental learning of linear model trees. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  11. Rómer Rosales, Kannan Achan, Brendan J. Frey
    Learning to cluster using local neighborhood structure. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  12. Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun
    Learning low dimensional predictive representations. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  13. Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani
    Predictive automatic relevance determination by expectation propagation. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  14. Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola
    Learning with non-positive kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  15. Artur Merke, Ralf Schoknecht
    Convergence of synchronous reinforcement learning with linear function approximation. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  16. Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert
    Extensions of marginalized graph kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  17. John D. Lafferty, Xiaojin Zhu, Yan Liu
    Kernel conditional random fields: representation and clique selection. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  18. Jelle R. Kok, Nikos A. Vlassis
    Sparse cooperative Q-learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  19. Moshe Koppel, Jonathan Schler
    Authorship verification as a one-class classification problem. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  20. Neil D. Lawrence, John C. Platt
    Learning to learn with the informative vector machine. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  21. Guy Lebanon, John D. Lafferty
    Hyperplane margin classifiers on the multinomial manifold. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  22. Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian
    Probabilistic tangent subspace: a unified view. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  23. Tao Li, Sheng Ma, Mitsunori Ogihara
    Entropy-based criterion in categorical clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  24. Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein
    Dynamic abstraction in reinforcement learning via clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  25. Prem Melville, Raymond J. Mooney
    Diverse ensembles for active learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  26. Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis
    Bias and variance in value function estimation. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  27. Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang
    Decision trees with minimal costs. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  28. Benjamin Marlin, Richard S. Zemel
    The multiple multiplicative factor model for collaborative filtering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  29. Saharon Rosset
    Model selection via the AUC. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  30. Ulrich Rückert, Stefan Kramer
    Towards tight bounds for rule learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  31. Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun
    Support vector machine learning for interdependent and structured output spaces. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  32. Volkan Vural, Jennifer G. Dy
    A hierarchical method for multi-class support vector machines. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  33. Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
    Learning a kernel matrix for nonlinear dimensionality reduction. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  34. Max Welling, Michal Rosen-Zvi, Yee Whye Teh
    Approximate inference by Markov chains on union spaces. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  35. Daan Wierstra, Marco Wiering
    Utile distinction hidden Markov models. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  36. David Wingate, Kevin D. Seppi
    P3VI: a partitioned, prioritized, parallel value iterator. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  37. Eric P. Xing, Roded Sharan, Michael I. Jordan
    Bayesian haplo-type inference via the dirichlet process. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  38. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park
    Feature extraction via generalized uncorrelated linear discriminant analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  39. Bianca Zadrozny
    Learning and evaluating classifiers under sample selection bias. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  40. Tong Zhang
    Solving large scale linear prediction problems using stochastic gradient descent algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  41. Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
    Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  42. Jian Zhang, Yiming Yang
    Probabilistic score estimation with piecewise logistic regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  43. Kristina Toutanova, Christopher D. Manning, Andrew Y. Ng
    Learning random walk models for inducing word dependency distributions. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  44. Benjamin Taskar, Vassil Chatalbashev, Daphne Koller
    Learning associative Markov networks. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  45. Qingping Tao, Stephen Scott, N. V. Vinodchandran, Thomas Takeo Osugi
    SVM-based generalized multiple-instance learning via approximate box counting. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  46. Matthew R. Rudary, Satinder P. Singh, Martha E. Pollack
    Adaptive cognitive orthotics: combining reinforcement learning and constraint-based temporal reasoning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  47. Daniil Ryabko
    Online learning of conditionally I.I.D. data. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  48. Soumya Ray, David Page
    Sequential skewing: an improved skewing algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  49. Pengcheng Wu, Thomas G. Dietterich
    Improving SVM accuracy by training on auxiliary data sources. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  50. Cristian Sminchisescu, Allan D. Jepson
    Generative modeling for continuous non-linearly embedded visual inference. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  51. Jieping Ye
    Generalized low rank approximations of matrices. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  52. Ted Scully, Michael G. Madden, Gerard Lyons
    Coalition calculation in a dynamic agent environment. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  53. Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng
    Online and batch learning of pseudo-metrics. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  54. Malcolm J. A. Strens
    Efficient hierarchical MCMC for policy search. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  55. Özgür Simsek, Andrew G. Barto
    Using relative novelty to identify useful temporal abstractions in reinforcement learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  56. Charles A. Sutton, Khashayar Rohanimanesh, Andrew McCallum
    Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  57. Csaba Szepesvári, William D. Smart
    Interpolation-based Q-learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  58. Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
    Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  59. Yongdai Kim, Jinseog Kim
    Gradient LASSO for feature selection. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  60. Remco R. Bouckaert
    Estimating replicability of classifier learning experiments. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  61. Klaus Brinker
    Active learning of label ranking functions. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  62. Sharlee Climer, Weixiong Zhang
    Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  63. Ronan Collobert, Samy Bengio
    Links between perceptrons, MLPs and SVMs. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  64. Vincent Conitzer, Tuomas Sandholm
    Communication complexity as a lower bound for learning in games. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  65. Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes
    Ensemble selection from libraries of models. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  66. Corinna Cortes, Mehryar Mohri
    Distribution kernels based on moments of counts. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  67. Lourdes Peña Castillo, Stefan Wrobel
    A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  68. Koby Crammer, Gal Chechik
    A needle in a haystack: local one-class optimization. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  69. Hong Chang, Dit-Yan Yeung
    Locally linear metric adaptation for semi-supervised clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  70. Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
    The Bayesian backfitting relevance vector machine. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  71. Ofer Dekel, Joseph Keshet, Yoram Singer
    Large margin hierarchical classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  72. Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov
    Training conditional random fields via gradient tree boosting. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  73. Wei Chu, Zoubin Ghahramani, David L. Wild
    A graphical model for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  74. Ulf Brefeld, Tobias Scheffer
    Co-EM support vector learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  75. Nicolas Baskiotis, Michèle Sebag
    C4.5 competence map: a phase transition-inspired approach. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  76. Ankur Agarwal, Bill Triggs
    Learning to track 3D human motion from silhouettes. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  77. Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
    A multiplicative up-propagation algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  78. Yasemin Altun, Thomas Hofmann, Alex J. Smola
    Gaussian process classification for segmenting and annotating sequences. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  79. Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan
    Multiple kernel learning, conic duality, and the SMO algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  80. Mikhail Bilenko, Sugato Basu, Raymond J. Mooney
    Integrating constraints and metric learning in semi-supervised clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  81. Annalisa Appice, Michelangelo Ceci, Simon Rawles, Peter A. Flach
    Redundant feature elimination for multi-class problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  82. Antonio Bahamonde, Gustavo F. Bayón, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz, Jaime Alonso, Félix Goyache
    Feature subset selection for learning preferences: a case study. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  83. David M. Blei, Michael I. Jordan
    Variational methods for the Dirichlet process. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  84. Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, Rajashekar Reddy
    Semi-supervised learning using randomized mincuts. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  85. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu
    An information theoretic analysis of maximum likelihood mixture estimation for exponential families. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  86. Sander M. Bohte, Markus Breitenbach, Gregory Z. Grudic
    Nonparametric classification with polynomial MPMC cascades. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  87. Justin Basilico, Thomas Hofmann
    Unifying collaborative and content-based filtering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  88. Chris H. Q. Ding, Xiaofeng He
    Linearized cluster assignment via spectral ordering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  89. Chris H. Q. Ding, Xiaofeng He
    K-means clustering via principal component analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  90. Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf
    A kernel view of the dimensionality reduction of manifolds. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  91. Douglas Hardin, Ioannis Tsamardinos, Constantin F. Aliferis
    A theoretical characterization of linear SVM-based feature selection. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  92. Alan Herschtal, Bhavani Raskutti
    Optimising area under the ROC curve using gradient descent. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  93. Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
    Boosting margin based distance functions for clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  94. Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
    Learning large margin classifiers locally and globally. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  95. Aleks Jakulin, Ivan Bratko
    Testing the significance of attribute interactions. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  96. Michael R. James, Satinder P. Singh
    Learning and discovery of predictive state representations in dynamical systems with reset. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  97. Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier
    Boosting grammatical inference with confidence oracles. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  98. Tony Jebara
    Multi-task feature and kernel selection for SVMs. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  99. Odest Chadwicke Jenkins, Maja J. Mataric
    A spatio-temporal extension to Isomap nonlinear dimension reduction. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  100. Rong Jin, Huan Liu
    Robust feature induction for support vector machines. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  101. Hisashi Kashima, Yuta Tsuboi
    Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  102. Daniel Grossman, Pedro Domingos
    Learning Bayesian network classifiers by maximizing conditional likelihood. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  103. Robert B. Gramacy, Herbert K. H. Lee, William G. Macready
    Parameter space exploration with Gaussian process trees. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  104. Anna Goldenberg, Andrew Moore
    Tractable learning of large Bayes net structures from sparse data. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  105. Austin I. Eliazar, Ronald Parr
    Learning probabilistic motion models for mobile robots. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  106. Saher Esmeir, Shaul Markovitch
    Lookahead-based algorithms for anytime induction of decision trees. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  107. Roberto Esposito, Lorenza Saitta
    A Monte Carlo analysis of ensemble classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  108. Xiaoli Zhang Fern, Carla E. Brodley
    Solving cluster ensemble problems by bipartite graph partitioning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  109. Alan Fern, Robert Givan
    Relational sequential inference with reliable observations. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  110. César Ferri, Peter A. Flach, José Hernández-Orallo
    Delegating classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  111. George Forman
    A pitfall and solution in multi-class feature selection for text classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  112. Eibe Frank, Stefan Kramer
    Ensembles of nested dichotomies for multi-class problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  113. Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao
    A fast iterative algorithm for fisher discriminant using heterogeneous kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  114. Evgeniy Gabrilovich, Shaul Markovitch
    Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  115. Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
    A MFoM learning approach to robust multiclass multi-label text categorization. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  116. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    Margin based feature selection - theory and algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  117. Kristian Kersting, Martijn Van Otterlo, Luc De Raedt
    Bellman goes relational. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
NOTICE1
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NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
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