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» Algorithmic randomness of continuous functions
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FUZZIEEE
2007
IEEE
15 years 8 months ago
Nonlinear Classification by Genetic Algorithm with Signed Fuzzy Measure
—In this paper, we propose a new nonlinear classier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification power by capturing all possib...
Honggang Wang, Hua Fang, Hamid Sharif, Zhenyuan Wa...
124
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SIGGRAPH
1993
ACM
15 years 6 months ago
Radiosity algorithms using higher order finite element methods
Many of the current radiosity algorithms create a piecewise constant approximation to the actual radiosity. Through interpolation and extrapolation, a continuous solution is obtai...
Roy Troutman, Nelson L. Max
ICML
2008
IEEE
16 years 3 months ago
Listwise approach to learning to rank: theory and algorithm
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Ha...
ICTAI
2000
IEEE
15 years 6 months ago
Constrained genetic algorithms and their applications in nonlinear constrained optimization
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Benjamin W. Wah, Yixin Chen
ALGORITHMICA
2011
14 years 9 months ago
Knowledge State Algorithms
We introduce the concept of knowledge states; many well-known algorithms can be viewed as knowledge state algorithms. The knowledge state approach can be used to to construct comp...
Wolfgang W. Bein, Lawrence L. Larmore, John Noga, ...