385 search results - page 24 / 77 » On higher-order perceptron algorithms |
IJCES
2002
13 years 8 months ago
2002
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
COLT
2005
Springer
14 years 2 months ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
NIPS
1994
13 years 9 months ago
1994
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
ML
2000
ACM
13 years 8 months ago
2000
ACM
Capacity control in perceptron decision trees is typically performed by controlling their size. We prove that other quantities can be as relevant to reduce their flexibility and co...
SIAMCOMP
2008
13 years 8 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...