关于统计学习入门书籍，很经典！ T. Hastie, R. Tibshirani, J. Friedman, “The Elements of statistical Learning: Data Mining, Inference, and Prediction”, 2001, Springer-Verlag
Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free gramm
This book presents theoretical and practical results of information theoretic methods used in the context of statistical learning. Its major goal is to advocate and promote the importance and usefulness of information theoretic concepts for understa
