Journals in DBLP
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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ]