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» Learning to learn with the informative vector machine
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ICML
2009
IEEE
16 years 7 months ago
Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Information theoretic based measures form a fundamental class of similarity measures for comparing clusterings, beside the class of pair-counting based and set-matching based meas...
Xuan Vinh Nguyen, Julien Epps, James Bailey
ICML
2000
IEEE
16 years 7 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
159
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ICALT
2006
IEEE
16 years 24 days ago
Online Discussion Processes: Effects of Earlier Messages' Evaluations, Knowledge Content, Social Cues and Personal Information o
This study of the flow of online discussions examined how earlier messages affected later messages along five dimensions: (1) evaluations (agree, disagree, or unresponsive actions...
Gaowei Chen, Ming Ming Chiu
IJCAI
2003
15 years 8 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
ICEIS
2005
IEEE
16 years 10 days ago
A Survey of Case-Based Diagnostic Systems for Machines
Electrical and mechanical equipment such as gearboxes in an industrial robot or electronic circuits in an industrial printer sometimes fail to operate as intended. The faulty compo...
Erik Olsson