Journals in DBLP

Journal of Machine Learning Research
2001, volume: 1, number:

1. Ronan Collobert, Samy Bengio
   SVMTorch: Support Vector Machines for Large-Scale Regression Problems. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:1, n:, pp:143-160 [Journal]
   
2. Olvi L. Mangasarian, David R. Musicant
   Lagrangian Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:1, n:, pp:161-177 [Journal]
   
3. Alex J. Smola, Sebastian Mika, Bernhard Schölkopf, Robert C. Williamson
   Regularized Principal Manifolds. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:1, n:, pp:179-209 [Journal]
   
4. Michael E. Tipping
   Sparse Bayesian Learning and the Relevance Vector Machine. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:1, n:, pp:211-244 [Journal]
   
5. Ralf Herbrich, Thore Graepel, Colin Campbell
   Bayes Point Machines. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:1, n:, pp:245-279 [Journal]
   
6. Mark Herbster, Manfred K. Warmuth
   Tracking the Best Linear Predictor. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:1, n:, pp:281-309 [Journal]
   
7. Robert E. Mahony, Robert C. Williamson
   Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:1, n:, pp:311-355 [Journal]