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ICML
2005
IEEE
16 years 6 months ago
Online learning over graphs
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simp...
Mark Herbster, Massimiliano Pontil, Lisa Wainer
IJISTA
2007
101views more  IJISTA 2007»
15 years 5 months ago
Incremental online PCA for automatic motion learning of eigen behaviour
: This paper presents an online learning framework for the behavior of an articulated body by capturing its motion using real-time video. In our proposed framework, supervised lear...
Xianhua Jiang, Yuichi Motai
ICALT
2008
IEEE
16 years 9 days ago
CyberLab: An Online Virtual Laboratory Toolkit for Non-Programmers
Online virtual laboratory is important for online science education. CyberLab is a toolkit for online virtual experiments. It is able to handle the creation, exportation, and exec...
Kang Zhao, Matthew P. Evett
CVPR
2012
IEEE
13 years 8 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento
SIGIR
2012
ACM
13 years 8 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...