Journal of Machine Learning Research, Volume 8

Volume 8, January 2007

• Nicolás García-Pedrajas, Cesar García-Osorio, Colin Fyfe:
  Nonlinear Boosting Projections for Ensemble Construction. 1-33
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• Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram:
  Multi-Task Learning for Classification with Dirichlet Process Priors. 35-63
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• Marc Teboulle:
  A Unified Continuous Optimization Framework for Center-Based Clustering Methods. 65-102
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• Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
  Minimax Regret Classifier for Imprecise Class Distributions. 103-130
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• Nikolaj Tatti:
  Distances between Data Sets Based on Summary Statistics. 131-154
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• Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen:
  Building Blocks for Variational Bayesian Learning of Latent Variable Models. 155-201
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Volume 8, February 2007

• Sanjoy Dasgupta, Leonard J. Schulman:
  A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians. 203-226
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• Roni Khardon, Gabriel Wachman:
  Noise Tolerant Variants of the Perceptron Algorithm. 227-248
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• Yiming Ying, Ding-Xuan Zhou:
  Learnability of Gaussians with Flexible Variances. 249-276
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• Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan:
  Separating Models of Learning from Correlated and Uncorrelated Data. 277-290
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• Gaëlle Loosli, Stéphane Canu:
  Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". 291-301
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• Nikolas List, Hans-Ulrich Simon:
  General Polynomial Time Decomposition Algorithms. 303-321
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