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» A Machine Learning Approach for Statistical Software Testing
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AMAST
2006
Springer
15 years 1 months ago
Testing Semantics: Connecting Processes and Process Logics
We propose a methodology based on testing as a framework to capture the interactions of a machine represented in a denotational model and the data it manipulates. Using a duality t...
Dusko Pavlovic, Michael W. Mislove, James Worrell
ICML
2005
IEEE
15 years 10 months ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft
IJCNN
2008
IEEE
15 years 4 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
69
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AIIDE
2008
15 years 52 min ago
OpenNERO: A Game Platform for AI Research and Education
OpenNERO is an open source game platform designed for game AI research. The software package combines features commonly available in modern game engines (such as 3D graphics, phys...
Igor Karpov, John Sheblak, Risto Miikkulainen
142
Voted

Book
778views
16 years 7 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...