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» Self-Randomized Exponentiation Algorithms
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101
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ACL
1997
15 years 1 months ago
A Model of Lexical Attraction and Repulsion
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-...
Doug Beeferman, Adam L. Berger, John D. Lafferty
105
Voted
CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 4 months ago
The Rate of Convergence of AdaBoost
The AdaBoost algorithm was designed to combine many “weak” hypotheses that perform slightly better than random guessing into a “strong” hypothesis that has very low error....
Indraneel Mukherjee, Cynthia Rudin, Robert E. Scha...
88
Voted
JEI
2010
141views more  JEI 2010»
14 years 7 months ago
Contrast image correction method
A method for contrast enhancement is proposed. The algorithm is based on a local and image-dependent exponential correction. The technique aims to correct images that simultaneousl...
Raimondo Schettini, Francesca Gasparini, Silvia Co...
ACISP
2009
Springer
15 years 5 months ago
Random Order m-ary Exponentiation
This paper describes a m-ary exponentiation algorithm where the radix-m digits of an exponent can be treated in a somewhat random order without using any more group operations than...
Michael Tunstall
89
Voted
IJCAI
1993
15 years 1 months ago
A New Algorithm for Incremental Prime Implicate Generation
Traditional algorithms for prime implicate generation [Quine, 1952; McCluskey, 1956; Tison, 1967; Kean and Tsiknis, 1990; de Kleer, 1992] require the input formulas to be first tr...
Teow-Hin Ngair