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NECO
2006
157views more  NECO 2006»
14 years 9 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
ICTAI
2009
IEEE
15 years 4 months ago
Learning in Local Search
In this paper a learning based local search approach for propositional satisfiability is presented. It is based on an original adaptation of the conflict driven clause learning ...
Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazu...
CAMP
2005
IEEE
15 years 3 months ago
Virtual Astronomy, Information Technology, and the New Scientific Methodology
—All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transfor...
S. George Djorgovski
AAAI
2006
14 years 11 months ago
Real-Time Evolution of Neural Networks in the NERO Video Game
A major goal for AI is to allow users to interact with agents that learn in real time, making new kinds of interactive simulations, training applications, and digital entertainmen...
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, ...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 28 days ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...