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192
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SSPR
2004
Springer
15 years 11 months ago
Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
15 years 11 months ago
Asynchronous gossip algorithms for stochastic optimization
Abstract— We consider a distributed multi-agent network system where the goal is to minimize an objective function that can be written as the sum of component functions, each of ...
Sundhar Srinivasan Ram, Angelia Nedic, Venugopal V...
NAA
2000
Springer
104views Mathematics» more  NAA 2000»
15 years 9 months ago
A Grid Free Monte Carlo Algorithm for Solving Elliptic Boundary Value Problems
In this work a grid free Monte Carlo algorithm for solving elliptic boundary value problems is investigated. The proposed Monte Carlo approach leads to a random process called a ba...
Todor V. Gurov, Paula A. Whitlock, Ivan Dimov
156
Voted
NIPS
2004
15 years 7 months ago
Exponentiated Gradient Algorithms for Large-margin Structured Classification
We consider the problem of structured classification, where the task is to predict a label y from an input x, and y has meaningful internal structure. Our framework includes super...
Peter L. Bartlett, Michael Collins, Benjamin Taska...
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
15 years 1 months ago
Convergence rates of consensus algorithms in stochastic networks
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Stacy Patterson, Bassam Bamieh