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» Using Machine Learning to Focus Iterative Optimization
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JOTA
2010
117views more  JOTA 2010»
15 years 2 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...
ML
2002
ACM
167views Machine Learning» more  ML 2002»
15 years 3 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
SIGIR
2004
ACM
15 years 9 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 9 months ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott
ROBOCUP
2004
Springer
97views Robotics» more  ROBOCUP 2004»
15 years 9 months ago
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach
The UT Austin Villa 2003 simulated online soccer coach was a first time entry in the RoboCup Coach Competition. In developing the coach, the main research focus was placed on trea...
Gregory Kuhlmann, Peter Stone, Justin Lallinger