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PROMISE
2010
13 years 2 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
DATE
2008
IEEE
85views Hardware» more  DATE 2008»
14 years 2 months ago
Improved Visibility in One-to-Many Trace Concretization
We present an improved algorithm for concretization of abstract eres in abstraction refinement-based invariant checking. The algorithm maps each transition of the abstract error ...
Kuntal Nanshi, Fabio Somenzi
UAI
2004
13 years 9 months ago
MOB-ESP and other Improvements in Probability Estimation
A key prerequisite to optimal reasoning under uncertainty in intelligent systems is to start with good class probability estimates. This paper improves on the current best probabi...
Rodney Nielsen
AIPS
2010
13 years 8 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon