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GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 5 months ago
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung
ICRA
2000
IEEE
121views Robotics» more  ICRA 2000»
15 years 4 months ago
2 1/2 D Visual Servoing: A Possible Solution to Improve Image-Based and Position-Based Visual Servoings
We describe in this paper potential problems that may appear in image-based visual servoing when the initial camera position is far away from its desired position. We show by conc...
François Chaumette, Ezio Malis
LREC
2010
202views Education» more  LREC 2010»
15 years 1 months ago
United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods
In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, althoug...
Vassiliki Rentoumi, Stefanos Petrakis, Manfred Kle...
ACL
1998
15 years 1 months ago
Classifier Combination for Improved Lexical Disambiguation
One of the most exciting recent directions in machine learning is the discovery that the combination of multiple classifiers often results in significantly better performance than...
Eric Brill, Jun Wu
JCSS
2008
80views more  JCSS 2008»
14 years 11 months ago
Improved bounds on sorting by length-weighted reversals
We study the problem of sorting binary sequences and permutations by length-weighted reversals. We consider a wide class of cost functions, namely f( ) = for all 0, where is the...
Michael A. Bender, Dongdong Ge, Simai He, Haodong ...