The Mathematics of Generalization: The Proceedings of the SFI - CNLS Workshop on Formal Approaches to Supervised Learning Book

	Preface
	The Status of Supervised Learning Science circa 1994 - The Search for a Consensus	1
	Reflections After Refereeing Papers for NIPS	11
	The Probably Approximately Correct (PAC) and Other Learning Models	17
	Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications	37
	The Relationship Between PAC, the Statistical Physics Framework, the Bayesian Framework, and the VC Framework	117
	Statistical Physics Models of Supervised Learning	215
	On Exhaustive Learning	243
	A Study of Maximal-Coverage Learning Algorithms	279
	On Bayesian Model Selection	315
	Soft Classification, a.k.a. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Analysis of Variance	331
	Current Research	361
	Preface to Simplifying Neural Networks by Soft Weight Sharing	369
	Simplifying Neural Networks by Soft Weight Sharing	373
	Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs	395
	Image Segmentation and Recognition	409
	Index	435