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ICML
2005
IEEE
14 years 9 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
CEC
2005
IEEE
13 years 10 months ago
XCS with computed prediction in continuous multistep environments
We apply XCS with computed prediction (XCSF) to tackle multistep reinforcement learning problems involving continuous inputs. In essence we use XCSF as a method of generalized rein...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
14 years 15 days ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom
BMCBI
2006
113views more  BMCBI 2006»
13 years 9 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
CVIU
2008
296views more  CVIU 2008»
13 years 9 months ago
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Hui Zhang, Jason E. Fritts, Sally A. Goldman