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JMLR
2011
148views more  JMLR 2011»
13 years 1 days ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
RECOMB
2005
Springer
14 years 5 months ago
An Interaction-Dependent Model for Transcription Factor Binding
Transcriptional regulation is accomplished by several transcription factor proteins that bind to specific DNA elements in the relative vicinity of the gene, and interact with each ...
Li-San Wang, Shane T. Jensen, Sridhar Hannenhalli
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
14 years 5 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
ESA
2003
Springer
116views Algorithms» more  ESA 2003»
13 years 10 months ago
Smoothed Motion Complexity
We propose a new complexity measure for movement of objects, the smoothed motion complexity. Many applications are based on algorithms dealing with moving objects, but usually data...
Valentina Damerow, Friedhelm Meyer auf der Heide, ...
TASE
2010
IEEE
12 years 11 months ago
Robust Calibration for Localization in Clustered Wireless Sensor Networks
This paper presents a robust calibration procedure for clustered wireless sensor networks. Accurate calibration of between-node distances is one crucial step in localizing sensor n...
Jung Jin Cho, Yu Ding, Yong Chen, Jiong Tang