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FLAIRS
2004
13 years 9 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 2 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
ICCV
2009
IEEE
13 years 6 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding
CSL
2008
Springer
13 years 10 months ago
An Optimal Strategy Improvement Algorithm for Solving Parity and Payoff Games
This paper presents a novel strategy improvement algorithm for parity and payoff games, which is guaranteed to select, in each improvement step, an optimal combination of local str...
Sven Schewe
DATE
2010
IEEE
121views Hardware» more  DATE 2010»
14 years 1 months ago
Properties of and improvements to time-domain dynamic thermal analysis algorithms
—Temperature has a strong influence on integrated circuit (IC) performance, power consumption, and reliability. However, accurate thermal analysis can impose high computation co...
Xi Chen, Robert P. Dick, Li Shang