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POPL
2003
ACM
15 years 10 months ago
Selective memoization
We present a framework for applying memoization selectively. The framework provides programmer control over equality, space usage, and identification of precise dependences so tha...
Umut A. Acar, Guy E. Blelloch, Robert Harper
WWW
2008
ACM
15 years 10 months ago
Statistical properties of community structure in large social and information networks
A large body of work has been devoted to identifying community structure in networks. A community is often though of as a set of nodes that has more connections between its member...
Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Mi...
ESWA
2007
146views more  ESWA 2007»
14 years 9 months ago
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
14 years 11 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 1 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...