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» Termination Analysis with Algorithmic Learning
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92
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VMCAI
2005
Springer
15 years 5 months ago
Minimizing Counterexample with Unit Core Extraction and Incremental SAT
Abstract. It is a hotly researching topic to eliminate irrelevant variables from counterexample, to make it easier to be understood. K Ravi proposes a two-stages counterexample min...
ShengYu Shen, Ying Qin, Sikun Li
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 4 months ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh
97
Voted
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 6 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
GECCO
2010
Springer
151views Optimization» more  GECCO 2010»
15 years 5 months ago
Sustaining behavioral diversity in NEAT
Niching schemes, which sustain population diversity and let an evolutionary population avoid premature convergence, have been extensively studied in the research field of evoluti...
Hirotaka Moriguchi, Shinichi Honiden
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 4 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter