737 search results - page 28 / 148 » Network Structuring and Training Using Rule-Based Knowledge |
65
Voted
TNN
2008
14 years 9 months ago
2008
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
86
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
NIPS
1994
14 years 11 months ago
1994
Radial Basis Function (RBF) Networks, also known as networks of locally{tuned processing units (see 6]) are well known for their ease of use. Most algorithms used to train these t...
94
Voted
BMCBI
2010
14 years 9 months ago
2010
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
137
Voted
NPL
2011
14 years 14 days ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...