Braverman Readings in Machine Learning. Key Ideas from Inception to Current State

Front Cover
Springer
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Contents

Potential Functions for Signals and Symbolic Sequences
3
A Unified Framework for Clustering
32
Compactness Hypothesis Potential Functions and Rectifying Linear Space in Machine Learning
52
Conformal Predictive Distributions with Kernels
103
On the Concept of Compositional Complexity
122
On the Choice of a Kernel Function in Symmetric Spaces
128
Causality Modeling and Statistical Generative Mechanisms
148
Novel Developments
187
Geometrical Insights for Implicit Generative Modeling
229
Applications to Physics
269
An Overview
298
Personal and Beyond
329
A Man of Unlimited Capabilities in Memory of E M Braverman
331
Braverman and His Theory of Disequilibrium Economics
333
My Mentor and My Model
341
List of Bravermans Papers Published in the Avtomatika i telemekhanika Journal Moscow Russia and Translated to English as Automation and Remote...
349

OneClass Semisupervised Learning
188
Prediction of Drug Efficiency by Transferring Gene Expression Data from Cell Lines to Cancer Patients
201
On One Approach to Robot Motion Planning
213

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