Abstract is missing.
- Potential Functions for Signals and Symbolic SequencesValentina Sulimova, Vadim Mottl. 3-31 [doi]
- Braverman's Spectrum and Matrix Diagonalization Versus iK-Means: A Unified Framework for ClusteringBoris Mirkin. 32-51 [doi]
- Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine LearningVadim Mottl, Oleg Seredin, Olga Krasotkina. 52-102 [doi]
- Conformal Predictive Distributions with KernelsVladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex J. Gammerman. 103-121 [doi]
- On the Concept of Compositional ComplexityLev I. Rozonoer. 122-127 [doi]
- On the Choice of a Kernel Function in Symmetric SpacesM. A. Aizerman, E. M. Braverman, Lev I. Rozonoer. 128-147 [doi]
- Causality Modeling and Statistical Generative MechanismsIgor Mandel. 148-186 [doi]
- One-Class Semi-supervised LearningEvgeny Bauman, Konstantin Bauman. 189-200 [doi]
- Prediction of Drug Efficiency by Transferring Gene Expression Data from Cell Lines to Cancer PatientsNicolas Borisov, Victor Tkachev, Anton Buzdin, Ilya Muchnik. 201-212 [doi]
- On One Approach to Robot Motion PlanningVladimir Lumelsky. 213-228 [doi]
- Geometrical Insights for Implicit Generative ModelingLéon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab. 229-268 [doi]
- Deep Learning in the Natural Sciences: Applications to PhysicsPeter J. Sadowski, Pierre Baldi. 269-297 [doi]
- From Reinforcement Learning to Deep Reinforcement Learning: An OverviewForest Agostinelli, Guillaume Hocquet, Sameer Singh, Pierre Baldi. 298-328 [doi]
- A Man of Unlimited Capabilities (in Memory of E. M. Braverman)Lev I. Rozonoer. 331-332 [doi]
- Braverman and His Theory of Disequilibrium EconomicsMark Levin. 333-340 [doi]
- Misha Braverman: My Mentor and My ModelBoris Mirkin. 341-348 [doi]
- List of Braverman's Papers Published in the "Avtomatika i telemekhanika" Journal, Moscow, Russia, and Translated to English as "Automation and Remote Control" JournalIlya Muchnik. 349-351 [doi]