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» Modeling Signs Using Functional Data Analysis
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SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
16 years 7 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
ISCAS
2008
IEEE
129views Hardware» more  ISCAS 2008»
16 years 1 months ago
Physical unclonable function with tristate buffers
— The lack of robust tamper-proofing techniques in security applications has provided attackers the ability to virtually circumvent mathematically strong cryptographic primitive...
Erdinç Öztürk, Ghaith Hammouri, B...
ECMDAFA
2006
Springer
107views Hardware» more  ECMDAFA 2006»
15 years 11 months ago
Mutation Analysis Testing for Model Transformations
In MDE, model transformations should be efficiently tested so that it may be used and reused safely. Mutation analysis is an efficient technique to evaluate the quality of test dat...
Jean-Marie Mottu, Benoit Baudry, Yves Le Traon
ICML
2008
IEEE
16 years 8 months ago
The asymptotics of semi-supervised learning in discriminative probabilistic models
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
François Yvon, Nataliya Sokolovska, Olivier...
BMCBI
2010
118views more  BMCBI 2010»
15 years 7 months ago
Predicting nucleosome positioning using a duration Hidden Markov Model
Background: The nucleosome is the fundamental packing unit of DNAs in eukaryotic cells. Its detailed positioning on the genome is closely related to chromosome functions. Increasi...
Liqun Xi, Yvonne Fondufe-Mittendorf, Lei Xia, Jare...