Abstract is missing.
- In Hindsight: Doklady Akademii Nauk SSSR, 181(4), 1968Léon Bottou. 3-5 [doi]
- On the Uniform Convergence of the Frequencies of Occurrence of Events to Their ProbabilitiesVladimir Naumovich Vapnik, Alexey Ya. Chervonenkis. 7-12 [doi]
- Early History of Support Vector MachinesAlexey Ya. Chervonenkis. 13-20 [doi]
- Some Remarks on the Statistical Analysis of SVMs and Related MethodsIngo Steinwart. 25-36 [doi]
- Explaining AdaBoostRobert E. Schapire. 37-52 [doi]
- On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-DimensionYevgeny Seldin, Bernhard Schölkopf. 53-57 [doi]
- On Learnability, Complexity and StabilitySilvia Villa, Lorenzo Rosasco, Tomaso A. Poggio. 59-69 [doi]
- Loss FunctionsRobert C. Williamson. 71-80 [doi]
- Statistical Learning Theory in PracticeJason Weston. 81-93 [doi]
- PAC-Bayesian TheoryDavid McAllester, Takintayo Akinbiyi. 95-103 [doi]
- Kernel Ridge RegressionVladimir Vovk. 105-116 [doi]
- Multi-task Learning for Computational Biology: Overview and OutlookChristian Widmer, Marius Kloft, Gunnar Rätsch. 117-127 [doi]
- Semi-supervised Learning in Causal and Anticausal SettingsBernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang 0001, Joris M. Mooij. 129-141 [doi]
- Strong Universal Consistent Estimate of the Minimum Mean Squared ErrorLuc Devroye, Paola G. Ferrario, László Györfi, Harro Walk. 143-160 [doi]
- The Median HypothesisRan Gilad-Bachrach, Christopher J. C. Burges. 161-175 [doi]
- Efficient Transductive Online Learning via Randomized RoundingNicolò Cesa-Bianchi, Ohad Shamir. 177-194 [doi]
- Pivotal Estimation in High-Dimensional Regression via Linear ProgrammingEric Gautier, Alexandre B. Tsybakov. 195-204 [doi]
- On Sparsity Inducing Regularization Methods for Machine LearningAndreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil. 205-216 [doi]
- Sharp Oracle Inequalities in Low Rank EstimationVladimir Koltchinskii. 217-230 [doi]
- On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel-Based MethodsAndreas Christmann, Robert Hable. 231-244 [doi]
- Kernels, Pre-images and OptimizationJohn C. Snyder, Sebastian Mika, Kieron Burke, Klaus-Robert Müller. 245-259 [doi]
- Efficient Learning of Sparse Ranking FunctionsMark Stevens, Samy Bengio, Yoram Singer. 261-271 [doi]
- Direct Approximation of Divergences Between Probability DistributionsMasashi Sugiyama. 273-283 [doi]