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ICASSP
2008
IEEE
15 years 11 months ago
Minimum mean bayes risk error quantization of prior probabilities
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
Kush R. Varshney, Lav R. Varshney
GLOBECOM
2007
IEEE
15 years 11 months ago
Stochastic Channel Selection in Cognitive Radio Networks
— In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a s...
Yang Song, Yuguang Fang, Yanchao Zhang
ICIP
2005
IEEE
15 years 10 months ago
Minmax strategies for QIM watermarking subject to attacks with memory
This paper examines the role of attacker’s memory in Quantization Index Modulation (QIM) watermarking systems. First we derive the attacker’s noise distribution that maximizes...
Pierre Moulin, Anil Kumar Goteti
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
15 years 9 months ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
15 years 8 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford