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EVOW
2009
Springer
15 years 7 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
124
Voted
ICPR
2004
IEEE
16 years 1 months ago
Fast Object and Pose Recognition Through Minimum Entropy Coding
We present a pattern recognizer to classify a variety of objects and their pose on a table from real world images. Learning of weights in a linear discriminant is based on estimat...
Günter Westphal, Rolf P. Würtz
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 24 days ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
100
Voted
BMCBI
2007
116views more  BMCBI 2007»
15 years 12 days ago
MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes
Background: Despite a remarkable success in the computational prediction of genes in Bacteria and Archaea, a lack of comprehensive understanding of prokaryotic gene structures pre...
Huaiqiu Zhu, Gang-Qing Hu, Yi-Fan Yang, Jin Wang, ...
NIPS
1998
15 years 1 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand