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» A parallel search algorithm for CLNS addition optimization
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ICML
1997
IEEE
15 years 4 months ago
Efficient Feature Selection in Conceptual Clustering
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
Mark Devaney, Ashwin Ram
108
Voted
IR
2010
14 years 11 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
119
Voted
EUROGP
2009
Springer
143views Optimization» more  EUROGP 2009»
14 years 10 months ago
A Real-Time Evolutionary Object Recognition System
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided throug...
Marc Ebner
SAT
2007
Springer
107views Hardware» more  SAT 2007»
15 years 7 months ago
Combining Adaptive Noise and Look-Ahead in Local Search for SAT
Abstract. The adaptive noise mechanism was introduced in Novelty+ to automatically adapt noise settings during the search [4]. The local search algorithm G2 WSAT deterministically ...
Chu Min Li, Wanxia Wei, Harry Zhang
ASPLOS
2008
ACM
15 years 3 months ago
SoftSig: software-exposed hardware signatures for code analysis and optimization
Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficie...
James Tuck, Wonsun Ahn, Luis Ceze, Josep Torrellas