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» Hybrid Soft Computing: Where are we Going
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IC3
2009
13 years 5 months ago
A Hybrid Grouping Genetic Algorithm for Multiprocessor Scheduling
Abstract. This paper describes a hybrid grouping genetic algorithm for a multiprocessor scheduling problem, where a list of tasks has to be scheduled on identical parallel processo...
Alok Singh, Marc Sevaux, André Rossi
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 1 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
SIGIR
2005
ACM
14 years 1 months ago
Generic soft pattern models for definitional question answering
This paper explores probabilistic lexico-syntactic pattern matching, also known as soft pattern matching. While previous methods in soft pattern matching are ad hoc in computing t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
IEEEPACT
2009
IEEE
14 years 2 months ago
Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning
—Performance degradation of memory-intensive programs caused by the LRU policy’s inability to handle weaklocality data accesses in the last level cache is increasingly serious ...
Qingda Lu, Jiang Lin, Xiaoning Ding, Zhao Zhang, X...
ILP
2003
Springer
14 years 21 days ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain