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FLAIRS
2004
13 years 10 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
IJCNN
2007
IEEE
14 years 3 months ago
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Abstract— Cognitive control - the ability to produce appropriate behavior in complex situations - is a fundamental aspect of intelligence. It is increasingly evident that this co...
Simona Doboli, Ali A. Minai, Vincent R. Brown
WEBI
2005
Springer
14 years 2 months ago
Providing Expert Advice by Analogy for On-Line Help
One of the principal problems of online help is the mismatch between the specialized knowledge and technical vocabulary of experts who are providing the help, and the relative naÃ...
Henry Lieberman, Ashwani Kumar
SIGECOM
1999
ACM
117views ECommerce» more  SIGECOM 1999»
14 years 1 months ago
Recommender systems in e-commerce
Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce...
J. Ben Schafer, Joseph A. Konstan, John Riedl
FLAIRS
2008
13 years 11 months ago
Diagnosing Natural Language Answers to Support Adaptive Tutoring
Understanding answers to open-ended explanation questions is important in intelligent tutoring systems. Existing systems use natural language techniques in essay analysis, but rev...
Myroslava Dzikovska, Gwendolyn E. Campbell, Charle...