Sciweavers

1704 search results - page 161 / 341
» Modeling virtualized applications using machine learning tec...
Sort
View
ICML
2008
IEEE
15 years 11 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
ANSS
2004
IEEE
15 years 1 months ago
Cache Simulation Based on Runtime Instrumentation for OpenMP Applications
To enable optimizations in memory access behavior of high performance applications, cache monitoring is a crucial process. Simulation of cache hardware is needed in order to allow...
Jie Tao, Josef Weidendorfer
EWLR
1997
Springer
15 years 2 months ago
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the...
Wei-Po Lee, John Hallam, Henrik Hautop Lund
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
15 years 10 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
108
Voted
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 1 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth