Bayesian Learning for Neural Networks 豆 0.0分

资源最后更新于 2020-08-20 14:12:37

作者：Radford M. Neal

出版社：Springer

出版日期：1996-01

ISBN：9780387947242

文件格式： pdf

标签： 贝叶斯 人工神經網絡 NeuralNetworks Monte_Carlo 統計學 機器學習 概率論 數學

简介· · · · · ·

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional...