Titlebook: Neural Networks and Statistical Learning; Ke-Lin Du,M. N. S. Swamy Textbook 2019Latest edition Springer-Verlag London Ltd., part of Spring

卡死偷電

Fundamentals of Machine Learning,This chapter deals with the fundamental concepts and theories of machine learning. It first introduces various learning and inference methods, followed by learning and generalization, model selection, and neural networks as universal machines. Some other important topics are also covered.

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Spangle

BRUNT

猜忌

Clustering II: Topics in Clustering,Following Chap.?., this chapter continues to deal with clustering. We describe many associated topics such as the underutilization problem, robust clustering, hierarchical clustering, and cluster validity. Kernel-based clustering is introduced in Chap.?..