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STOC
1993
ACM
15 years 1 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
STOC
1993
ACM
15 years 1 months ago
1993
ACM
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
SWAT
1994
Springer
15 years 1 months ago
1994
Springer
Trapezoid graphs are a class of cocomparability graphs containing interval graphs and permutation graphs as subclasses. They were introduced by Dagan, Golumbic and Pinter DGP]. Th...
104
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SIGGRAPH
1992
ACM
15 years 1 months ago
1992
ACM
This paper discusses how interval analysis can be used to solve a wide variety of problems in computer graphics. These problems include ray tracing, interference detection, polygo...
FOCS
1990
IEEE
15 years 1 months ago
1990
IEEE
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...