950 search results - page 108 / 190 » Training a Quantum Neural Network |
156
Voted
NIPS
2000
15 years 5 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
252
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
124
Voted
LWA
2004
15 years 5 months ago
2004
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
130
Voted
JSW
2010
15 years 2 months ago
2010
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
180
Voted
IEEEHPCS
2010
14 years 10 months ago
2010
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...