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» Newton's method and its use in optimization
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GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
14 years 13 days ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
JACM
2006
99views more  JACM 2006»
13 years 7 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
STOC
2009
ACM
159views Algorithms» more  STOC 2009»
14 years 8 months ago
Message passing algorithms and improved LP decoding
Linear programming decoding for low-density parity check codes (and related domains such as compressed sensing) has received increased attention over recent years because of its p...
Sanjeev Arora, Constantinos Daskalakis, David Steu...
SASN
2006
ACM
14 years 1 months ago
Location-aware key predistribution scheme for wide area wireless sensor networks
Key predistribution in wireless sensor networks refers to the problem of distributing secret keys among sensors prior to deployment. Solutions appeared in the literature can be cl...
Katerina Simonova, Alan C. H. Ling, Xiaoyang Sean ...
CIVR
2008
Springer
222views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Automatic image annotation via local multi-label classification
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
Mei Wang, Xiangdong Zhou, Tat-Seng Chua