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FSMNLP
2005
Springer
15 years 11 months ago
Algorithms for Minimum Risk Chunking
Abstract. Stochastic finite automata are useful for identifying substrings (chunks) within larger units of text. Relevant applications include tokenization, base-NP chunking, name...
Martin Jansche
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 11 months ago
An approach for QoS-aware service composition based on genetic algorithms
Web services are rapidly changing the landscape of software engineering. One of the most interesting challenges introduced by web services is represented by Quality Of Service (Qo...
Gerardo Canfora, Massimiliano Di Penta, Raffaele E...
159
Voted
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 11 months ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 11 months ago
Designing resilient networks using a hybrid genetic algorithm approach
As high-speed networks have proliferated across the globe, their topologies have become sparser due to the increased capacity of communication media and cost considerations. Relia...
Abdullah Konak, Alice E. Smith
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 11 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko