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Journals in DBLP

Journal of Machine Learning Research
2007, volume: 8, number:

  1. Nicolás García-Pedrajas, Cesar García-Osorio, Colin Fyfe
    Nonlinear Boosting Projections for Ensemble Construction. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:1-33 [Journal]
  2. Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram
    Multi-Task Learning for Classification with Dirichlet Process Priors. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:35-63 [Journal]
  3. Marc Teboulle
    A Unified Continuous Optimization Framework for Center-Based Clustering Methods. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:65-102 [Journal]
  4. Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro
    Minimax Regret Classifier for Imprecise Class Distributions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:103-130 [Journal]
  5. Nikolaj Tatti
    Distances between Data Sets Based on Summary Statistics. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:131-154 [Journal]
  6. Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen
    Building Blocks for Variational Bayesian Learning of Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:155-201 [Journal]
  7. Sanjoy Dasgupta, Leonard J. Schulman
    A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:203-226 [Journal]
  8. Roni Khardon, Gabriel Wachman
    Noise Tolerant Variants of the Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:227-248 [Journal]
  9. Yiming Ying, Ding-Xuan Zhou
    Learnability of Gaussians with Flexible Variances. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:249-276 [Journal]
  10. Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan
    Separating Models of Learning from Correlated and Uncorrelated Data. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:277-290 [Journal]
  11. Gaëlle Loosli, Stéphane Canu
    Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:291-301 [Journal]
  12. Nikolas List, Hans-Ulrich Simon
    General Polynomial Time Decomposition Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:303-321 [Journal]
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