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ATAL
2006
Springer
13 years 11 months ago
Predicting people's bidding behavior in negotiation
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
Ya'akov Gal, Avi Pfeffer
IJCV
2008
188views more  IJCV 2008»
13 years 7 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
TCBB
2008
126views more  TCBB 2008»
13 years 7 months ago
Combinatorial Approaches for Mass Spectra Recalibration
Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger data sets, the automated recalibration of ma...
Sebastian Böcker, Veli Mäkinen
STOC
2006
ACM
132views Algorithms» more  STOC 2006»
14 years 7 months ago
Near-optimal algorithms for unique games
Unique games are constraint satisfaction problems that can be viewed as a generalization of Max-Cut to a larger domain size. The Unique Games Conjecture states that it is hard to ...
Moses Charikar, Konstantin Makarychev, Yury Makary...
INFOCOM
2012
IEEE
11 years 9 months ago
Submodular game for distributed application allocation in shared sensor networks
Abstract—Wireless sensor networks are evolving from singleapplication platforms towards an integrated infrastructure shared by multiple applications. Given the resource constrain...
Chengjie Wu, You Xu, Yixin Chen, Chenyang Lu