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TMA
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
AAAI
2008
13 years 11 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
INTERSPEECH
2010
13 years 3 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...