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FSTTCS
2006
Springer
15 years 7 months ago
Fast Exponential Algorithms for Maximum r-Regular Induced Subgraph Problems
Given a graph G=(V, E) on n vertices, the MAXIMUM r-REGULAR INDUCED SUBGRAPH (M-r-RIS) problems ask for a maximum sized subset of vertices R V such that the induced subgraph on R,...
Sushmita Gupta, Venkatesh Raman, Saket Saurabh
PRL
2008
133views more  PRL 2008»
15 years 3 months ago
Better multiclass classification via a margin-optimized single binary problem
We develop a new multiclass classification method that reduces the multiclass problem to a single binary classifier (SBC). Our method constructs the binary problem by embedding sm...
Ran El-Yaniv, Dmitry Pechyony, Elad Yom-Tov
ESANN
2004
15 years 5 months ago
Neuro-predictive control based self-tuning of PID controllers
: In this paper we present a new self-tuning procedure for PID controllers based on neuro-predictive control. A finite horizon optimal control problem is solved on-line, permitting...
Corneliu Lazar, Sorin Carari, Draguna Vrabie, Mari...
135
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ATMOS
2010
308views Optimization» more  ATMOS 2010»
15 years 2 months ago
The Team Orienteering Problem: Formulations and Branch-Cut and Price
The Team Orienteering Problem is a routing problem on a graph with durations associated to the arcs and profits assigned to visiting the vertices. A fixed number of identical ve...
Marcus Poggi de Aragão, Henrique Viana, Edu...
ICCV
2003
IEEE
16 years 5 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...