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» Discovering Cortical Algorithms
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IJCAI
1997
14 years 11 months ago
Law Discovery using Neural Networks
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Kazumi Saito, Ryohei Nakano
JSW
2008
203views more  JSW 2008»
14 years 10 months ago
Automatic Discovery of Semantic Relations Based on Association Rule
Automatic discovery of semantic relations between resources is a key issue in Web-based intelligent applications such as document understanding and Web services. This paper explore...
Xiangfeng Luo, Kai Yan, Xue Chen
NPL
1998
129views more  NPL 1998»
14 years 9 months ago
Extraction of Logical Rules from Neural Networks
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
ACMSE
2010
ACM
14 years 8 months ago
Pattern-based synonym and antonym extraction
Many research studies adopt manually selected patterns for semantic relation extraction. However, manually identifying and discovering patterns is time consuming and it is difficu...
Wenbo Wang, Christopher Thomas, Amit P. Sheth, Vic...
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
13 years 5 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li