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CEC
2009
IEEE
14 years 2 months ago
An adaptive learning particle swarm optimizer for function optimization
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
Changhe Li, Shengxiang Yang
CSL
2006
Springer
13 years 8 months ago
Adaptation of maximum entropy capitalizer: Little data can help a lot
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
Ciprian Chelba, Alex Acero
DRR
2008
13 years 9 months ago
Efficient implementation of local adaptive thresholding techniques using integral images
Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same qual...
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
ESANN
2004
13 years 9 months ago
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
WSC
1998
13 years 9 months ago
Evaluating Adaptive Signal Control Using CORSIM
This paper discusses the evaluation of adaptive traffic signal control using TSIS/CORSIM. The paper reviews three adaptive control strategies that have been developed through cont...
Charles Stallard, Larry E. Owen