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» Interpretation of Trained Neural Networks by Rule Extraction
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LION
2009
Springer
135views Optimization» more  LION 2009»
15 years 6 months ago
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment
We present a new knowledge-based Model Quality Assessment Program (MQAP) at the residue level which evaluates single protein structure models. We use a tree representation of the ...
Alberto J. M. Martin, Alessandro Vullo, Gianluca P...
87
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VLDB
1994
ACM
127views Database» more  VLDB 1994»
15 years 3 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton
ACII
2005
Springer
15 years 5 months ago
Physiological Sensing and Feature Extraction for Emotion Recognition by Exploiting Acupuncture Spots
Previous emotion recognition systems have mainly focused on pattern classification, rather than utilizing sensing technologies or feature extraction methods. This paper introduces ...
Ahyoung Choi, Woontack Woo
SIGIR
2003
ACM
15 years 5 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
IJCNN
2006
IEEE
15 years 5 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...