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ICML
2006
IEEE
16 years 7 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
ICML
2003
IEEE
16 years 7 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
CEC
2007
IEEE
16 years 16 days ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
EUROPAR
2007
Springer
16 years 10 days ago
TAUoverSupermon : Low-Overhead Online Parallel Performance Monitoring
Online application performance monitoring allows tracking performance characteristics during execution as opposed to doing so post-mortem. This opens up several possibilities other...
Aroon Nataraj, Matthew J. Sottile, Alan Morris, Al...
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
16 years 6 days ago
Support Vector Path Planning
— This paper describes a unique approach of applying a pattern classification technique to robot path planning. A collision-free path connecting a start and a goal point provide...
Jun Miura