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CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
13 years 5 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...
MOR
2006
81views more  MOR 2006»
13 years 10 months ago
Simulated Annealing for Convex Optimization
We apply the method known as simulated annealing to the following problem in convex optimization: minimize a linear function over an arbitrary convex set, where the convex set is ...
Adam Tauman Kalai, Santosh Vempala
SIAMJO
2008
99views more  SIAMJO 2008»
13 years 10 months ago
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
Many optimization problems are naturally delivered in an uncertain framework, and one would like to exercise prudence against the uncertainty elements present in the problem. In pr...
Marco C. Campi, Simone Garatti
SDM
2008
SIAM
121views Data Mining» more  SDM 2008»
13 years 11 months ago
Integration of Multiple Networks for Robust Label Propagation
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama
NAACL
2007
13 years 11 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney