448 search results - page 11 / 90 » Perceptrons |
COLT
1999
Springer
14 years 1 months ago
1999
Springer
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
SIAMCOMP
2008
13 years 9 months ago
2008
Abstract. The Perceptron algorithm, despite its simplicity, often performs well in online classification tasks. The Perceptron becomes especially effective when it is used in conju...
NIPS
2000
13 years 11 months ago
2000
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
APCSAC
2007
IEEE
14 years 4 months ago
2007
IEEE
Abstract. The perceptron predictor is a highly accurate branch predictor. Unfortunately this high accuracy comes with high complexity. The high complexity is the result of the larg...
IFSA
2007
Springer
14 years 3 months ago
2007
Springer
Typically the response of a multilayered perceptron (MLP) network on points which are far away from the boundary of its training data is not very reliable. When test data points ar...