Sciweavers

1206 search results - page 17 / 242
» Convergence analysis of online algorithms
Sort
View
DAGSTUHL
2006
13 years 9 months ago
Adaptive Analysis of On-line Algorithms
Reza Dorrigiv, Alejandro López-Ortiz
CVPR
2010
IEEE
14 years 4 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
CORR
2010
Springer
165views Education» more  CORR 2010»
13 years 8 months ago
Online Learning: Beyond Regret
We study online learnability of a wide class of problems, extending the results of [26] to general notions of performance measure well beyond external regret. Our framework simult...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
JMLR
2010
154views more  JMLR 2010»
13 years 3 months ago
MOA: Massive Online Analysis
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernha...
TNN
2010
233views Management» more  TNN 2010»
13 years 3 months ago
A hierarchical RBF online learning algorithm for real-time 3-D scanner
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...