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AIPS
2006
13 years 11 months ago
Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning
Planning as satisfiability (SAT-Plan) is one of the best approaches to optimal planning, which has been shown effective on problems in many different domains. However, the potenti...
Zhao Xing, Yixin Chen, Weixiong Zhang
AAAI
2011
12 years 9 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
CEC
2009
IEEE
14 years 4 months ago
Multi-start JADE with knowledge transfer for numerical optimization
— JADE is a recent variant of Differential Evolution (DE) for numerical optimization, which has been reported to obtain some promising results in experimental study. However, we ...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
GLOBECOM
2008
IEEE
14 years 4 months ago
A Memory-Optimized Bloom Filter Using an Additional Hashing Function
— A Bloom filter is a simple space-efficient randomized data structure for the representation set of items in order to support membership queries. In recent years, Bloom filte...
Mahmood Ahmadi, Stephan Wong
CEC
2010
IEEE
13 years 10 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne