Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selecti
目錄 1、文章信息 2、主要思想 2.1信息熵： 2.2 基於互信息的濾波算法 1、文章信息 Title: Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection Author: Gavin Brown, Adam Pocock, Ming-Jie Z
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相關文章
- 1. MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
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