137 search results - page 7 / 28 » Quantifying the Impact of Learning Algorithm Parameter Tunin... |
NN
2000
Springer
13 years 8 months ago
2000
Springer
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...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
3DPVT
2004
IEEE
14 years 11 days ago
2004
IEEE
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
AI
2006
Springer
13 years 8 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...