Machine Learning

Theory and Practice

Representation in Machine Learning

Machine Learning in Social Networks

Embedding Nodes, Edges, Communities, and Graphs

Centrality and Diversity in Search

Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

Support Vector Machines and Perceptrons

Learning, Optimization, Classification, and Application to Social Networks

パターン認識：アルゴリズム的アプローチ

Pattern Recognition

An Algorithmic Approach

Compression Schemes for Mining Large Datasets

A Machine Learning Perspective

Environmental Valuation in South Asia