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» The Cascade-Correlation Learning Architecture
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RECSYS
2009
ACM
14 years 1 months ago
A semantic framework for personalized ad recommendation based on advanced textual analysis
In this paper we present a hybrid recommendation system that combines ontological knowledge with content-extracted linguistic information, derived from pre-trained lexical graphs,...
Dorothea Tsatsou, Fotis Menemenis, Ioannis Kompats...
CONTEXT
2001
Springer
14 years 1 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
14 years 1 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
ISSRE
2000
IEEE
14 years 1 months ago
Software Black Box: An Alternative Mechanism for Failure Analysis
Learning from software failures is an essential step towards the development of more reliable software systems and processes. However, as more intricate software systems are devel...
Sebastian G. Elbaum, John C. Munson
SAC
2000
ACM
14 years 1 months ago
The Evolution of the DARWIN System
DARWIN is a web-based system for presenting the results of wind-tunnel testing and computational model analyses to aerospace designers. DARWIN captures the data, maintains the inf...
Joan D. Walton, Robert E. Filman, David J. Korsmey...