ICC
2011
IEEE
12 years 11 months ago
2011
IEEE
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
TOMACS
2010
13 years 6 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...
CDC
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper considers consensus problems with delayed noisy measurements, and stochastic approximation is used to achieve mean square consensus. For stochastic approximation based c...
NIPS
2008
14 years 1 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
KDD
2000
ACM
14 years 3 months ago
2000
ACM
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
EMMCVPR
2005
Springer
14 years 5 months ago
2005
Springer
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
HUMO
2007
Springer
14 years 6 months ago
2007
Springer
Abstract. This paper introduces a hand tracking system with a theoretical proof of convergence. The tracking system follows a model-based approach and uses image-based cues, namely...