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» An empirical study of optimizations in YOGI
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GECCO
2004
Springer
169views Optimization» more  GECCO 2004»
14 years 1 months ago
Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
Marylyn D. Ritchie, Christopher S. Coffey, Jason H...
GECCO
2010
Springer
163views Optimization» more  GECCO 2010»
13 years 11 months ago
Factors affecting the use of genetic algorithms in test suite augmentation
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...
Zhihong Xu, Myra B. Cohen, Gregg Rothermel
NIPS
2008
13 years 9 months ago
Mortal Multi-Armed Bandits
We formulate and study a new variant of the k-armed bandit problem, motivated by e-commerce applications. In our model, arms have (stochastic) lifetime after which they expire. In...
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski,...
NIPS
2007
13 years 9 months ago
Discriminative Batch Mode Active Learning
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Yuhong Guo, Dale Schuurmans
SECON
2007
IEEE
14 years 2 months ago
Minimum Interference Channel Assignment in Multi-Radio Wireless Mesh Networks
—In this paper, we consider multi-hop wireless mesh networks, where each router node is equipped with multiple radio interfaces and multiple channels are available for communicat...
Anand Prabhu Subramanian, Himanshu Gupta, Samir R....