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AE
2001
Springer
14 years 1 months ago
Markov Random Field Modelling of Royal Road Genetic Algorithms
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
Deryck F. Brown, A. Beatriz Garmendia-Doval, John ...
CIKM
2001
Springer
14 years 1 months ago
Model-based Feedback in the Language Modeling Approach to Information Retrieval
The language modeling approach to retrieval has been shown to perform well empirically. One advantage of this new approach is its statistical foundations. However, feedback, as on...
ChengXiang Zhai, John D. Lafferty
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
14 years 8 days ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
DAC
2005
ACM
13 years 10 months ago
A watermarking system for IP protection by a post layout incremental router
In this paper, we introduce a new watermarking system for IP protection on post-layout design phase. Firstly the copyright is encrypted by DES (Data Encryption Standard) and then ...
Tingyuan Nie, Tomoo Kisaka, Masahiko Toyonaga
ALT
2008
Springer
13 years 10 months ago
Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor
Abstract. We consider the problem of sequence prediction in a probabilistic setting. Let there be given a class C of stochastic processes (probability measures on the set of one-wa...
Daniil Ryabko