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» Stochastic Finite Learning
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ALT
2010
Springer
13 years 10 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
13 years 3 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
RECOMB
2004
Springer
14 years 9 months ago
Somatic evolution of cancer
We study a situation that arises in the somatic evolution of cancer. Consider a finite population of replicating cells and a sequence of mutations: type 0 can mutate to type 1, wh...
Martin Nowak
GLOBECOM
2009
IEEE
13 years 6 months ago
Minimum-Length Scheduling for Multicast Traffic under Channel Uncertainty
Abstract--We consider a set of multicast sources, each multicasting a finite amount of data to its corresponding destinations. The objective is to minimize the time to deliver all ...
Anna Pantelidou, Anthony Ephremides
CORR
2010
Springer
72views Education» more  CORR 2010»
13 years 5 months ago
X-Armed Bandits
We consider a generalization of stochastic bandit problems where the set of arms, X, is allowed to be a generic topological space. We constraint the mean-payoff function with a di...
Sébastien Bubeck, Rémi Munos, Gilles...