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CORR
2007
Springer
128views Education» more  CORR 2007»
13 years 9 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICML
2010
IEEE
13 years 10 months ago
Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
Antoine Bordes, Nicolas Usunier, Jason Weston
TROB
2008
112views more  TROB 2008»
13 years 9 months ago
A Complete and Scalable Strategy for Coordinating Multiple Robots Within Roadmaps
Abstract--This paper addresses the challenging problem of finding collision-free trajectories for many robots moving toward individual goals within a common environment. Most popul...
Mike Peasgood, Christopher M. Clark, John McPhee
CIKM
2011
Springer
12 years 9 months ago
Imbalanced sentiment classification
Various semi-supervised learning methods have been proposed recently to solve the long-standing shortage problem of manually labeled data in sentiment classification. However, mos...
Shoushan Li, Guodong Zhou, Zhongqing Wang, Sophia ...
TSP
2010
13 years 3 months ago
Beamforming and rate allocation in MISO cognitive radio networks
We consider decentralized multiantenna cognitive radio networks where the secondary (cognitive) users are granted simultaneous spectrum access along with the license-holding (prima...
Ali Tajer, Narayan Prasad, Xiaodong Wang