627 search results - page 10 / 126 » Kolmogorov-Loveland Randomness and Stochasticity |
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Recently there has been much interest in using transmit beamforming to provide multi-antenna physical-layer multicasting. A state of the art in this context is the semidefinite r...
124
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Lecture Notes
The notes cover several topics such as Measure Theory, Discrete Time Martingales, Discrete Time Option Pricing, Continuous Time, Martingales, Stochastic Integrals, Stochastic Calcu...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
107
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TOMACS
2010
14 years 8 months ago
2010
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
106
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WSC
2001
15 years 3 months ago
2001
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...