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» Genetic process mining: an experimental evaluation
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SOCO
2010
Springer
13 years 5 months ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
IJDMB
2011
85views more  IJDMB 2011»
13 years 2 months ago
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...
Tamara Polajnar, Simon Rogers, Mark Girolami
BMCBI
2005
134views more  BMCBI 2005»
13 years 7 months ago
Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists
Background: Analysis of inherited diseases and their associated phenotypes is of great importance to gain knowledge of underlying genetic interactions and could ultimately give cl...
Marco Masseroli, Osvaldo Galati, Mauro Manzotti, K...
EUSFLAT
2009
137views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Evolutionary Robot Vision and Fuzzy Evaluation for Natural Communication of Partner Robots
This paper proposes a method of evolutionary robot vision based on a steady-state genetic algorithm and fuzzy evaluation. In order to improve the communication capability of human-...
Akihiro Yorita, Naoyuki Kubota
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 11 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...