Computational Learning Theory and the Brd Algorithm
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关键词: Probabilistic logic 、 Noisy data 、 Bounded function 、 Algorithm 、 Computer science 、 Limiting 、 Computational learning theory
摘要: This chapter contains sections titled: 9.1 Introduction to Computational Learning Theory, 9.2 A Algorithm for Probabilistic Bounded Distributed Concepts, 9.3 the BRD Theorem, 9.4 Noisy Data and Fallback Estimates, 9.5 Bounds Single-Layer Algorithms, 9.6 Fitting By Limiting Number of Iterations, 9.7 Discussion, 9.8 Exercise, 9.9 Programming Project
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