Add to ORKGThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.Includes bibliographical references (leaves 116-120).by Robert Hal Sloan.Ph.D
This is the first comprehensive introduction to computational learning theory. The author's uniform ...
Goldman and Kearns [GK91] recently introduced a notionof the teaching dimensionof a concept class. T...
of the book. In particular, page numbers are not identical (but section numbers are the same). Under...
There are many types of activity which are commonly known as ‘learning’. Here, we shall discuss a ma...
AbstractWe introduce a new model for learning in the presence of noise, which we call the Nasty Nois...
The distribution-independent model of concept learning from examples ("PAC-learning") due to Valiant...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We discuss more realistic models of computational learning. We extend the existing literature on the...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The thesis explores efficient learning algorithms in settings which are more restrictive than the PA...
Thesis (Ph.D.)--University of Washington, 2020We present several novel results on computational prob...
This thesis attempts to quantify the amount of information needed to learn certain tasks. The task...
Abstract. The PAC and other equivalent learning models are widely accepted models for polynomial lea...
Machine learning deals with programs that learn from experience, i.e. programs that improve or adapt...
AbstractA model for a subject S learning its environment E could be described thus: S, placed in E, ...
This is the first comprehensive introduction to computational learning theory. The author's uniform ...
Goldman and Kearns [GK91] recently introduced a notionof the teaching dimensionof a concept class. T...
of the book. In particular, page numbers are not identical (but section numbers are the same). Under...
There are many types of activity which are commonly known as ‘learning’. Here, we shall discuss a ma...
AbstractWe introduce a new model for learning in the presence of noise, which we call the Nasty Nois...
The distribution-independent model of concept learning from examples ("PAC-learning") due to Valiant...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We discuss more realistic models of computational learning. We extend the existing literature on the...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The thesis explores efficient learning algorithms in settings which are more restrictive than the PA...
Thesis (Ph.D.)--University of Washington, 2020We present several novel results on computational prob...
This thesis attempts to quantify the amount of information needed to learn certain tasks. The task...
Abstract. The PAC and other equivalent learning models are widely accepted models for polynomial lea...
Machine learning deals with programs that learn from experience, i.e. programs that improve or adapt...
AbstractA model for a subject S learning its environment E could be described thus: S, placed in E, ...
This is the first comprehensive introduction to computational learning theory. The author's uniform ...
Goldman and Kearns [GK91] recently introduced a notionof the teaching dimensionof a concept class. T...
of the book. In particular, page numbers are not identical (but section numbers are the same). Under...