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» On Optimal Learning Algorithms for Multiplicity Automata
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INFOCOM
2007
IEEE
15 years 3 months ago
Measurement-Based Self Organization of Interfering 802.11 Wireless Access Networks
— The popularity of IEEE 802.11 WLANs has led to dense deployments in urban areas. High density leads to suboptimal performance unless the interfering networks learn how to optim...
Bruno Kauffmann, François Baccelli, Augusti...
SOFSEM
2010
Springer
15 years 6 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
95
Voted
NIPS
1997
14 years 11 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
IPPS
2009
IEEE
15 years 4 months ago
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT
Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysi...
George Chin Jr., Andrès Márquez, Sut...
CIKM
2010
Springer
14 years 8 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang