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» A finiteness theorem for Markov bases of hierarchical models
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TSP
2008
101views more  TSP 2008»
13 years 5 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami
TSP
2008
167views more  TSP 2008»
13 years 3 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
WWW
2008
ACM
14 years 6 months ago
Analyzing search engine advertising: firm behavior and cross-selling in electronic markets
The phenomenon of sponsored search advertising is gaining ground as the largest source of revenues for search engines. Firms across different industries have are beginning to adop...
Anindya Ghose, Sha Yang