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» Approximate algorithms for neural-Bayesian approaches
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ATAL
2006
Springer
15 years 1 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
IPL
2008
114views more  IPL 2008»
14 years 10 months ago
The online Prize-Collecting Traveling Salesman Problem
We study the online version of the Prize-Collecting Traveling Salesman Problem (PCTSP), a generalization of the Traveling Salesman Problem (TSP). In the TSP, the salesman has to v...
Giorgio Ausiello, Vincenzo Bonifaci, Luigi Laura
WAW
2010
Springer
270views Algorithms» more  WAW 2010»
14 years 8 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
GLOBECOM
2007
IEEE
15 years 4 months ago
Initialization Techniques for Improved Convergence of LMS DFEs in Strong Interference Environments
— The least-mean square (LMS) decision-feedback equalizer (DFE) was previously shown [1], [2] to possess an extended convergence time in an interference limited environment. In [...
Arun Batra, James R. Zeidler, Aloysius A. Beex
ICPADS
1994
IEEE
15 years 2 months ago
Stochastic Modeling of Scaled Parallel Programs
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...