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IJAR
2006
98views more  IJAR 2006»
15 years 6 months ago
A forward-backward Monte Carlo method for solving influence diagrams
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
Andrés Cano, Manuel Gómez, Seraf&iac...
ALT
2004
Springer
16 years 3 months ago
Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
Mark Herbster
ISPAN
1997
IEEE
15 years 10 months ago
RMESH Algorithms for Parallel String Matching
Abstract- String matching problem received much attention over the years due to its importance in various applications such as text/file comparison, DNA sequencing, search engines,...
Hsi-Chieh Lee, Fikret Erçal
AAAI
1992
15 years 7 months ago
Causal Approximations
models require the identi cation of abstractions and approximations that are well suited to the task at hand. In this paper we analyze the problem of automatically selecting adequ...
P. Pandurang Nayak
NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 6 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...