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» Latent Variable Models for Causal Knowledge Acquisition
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94
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CIKM
2011
Springer
14 years 11 days ago
Toward interactive training and evaluation
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Gregory Druck, Andrew McCallum
119
Voted
CD
2005
Springer
15 years 6 months ago
Modelling Deployment Using Feature Descriptions and State Models for Component-Based Software Product Families
Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
Slinger Jansen, Sjaak Brinkkemper
104
Voted
IJAR
2002
102views more  IJAR 2002»
15 years 5 days ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
81
Voted
HICSS
2003
IEEE
103views Biometrics» more  HICSS 2003»
15 years 5 months ago
Trust, Trait Theory, and Collaboration in Telemedicine: A Circumplex Perspective
More than a process-automating tool, telemedicine is increasingly recognized for its ability to facilitate collaboration and knowledge creation between disparate healthcare provid...
Houghton G. Brown, Marshall Scott Poole, Thomas Le...
139
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CSDA
2007
169views more  CSDA 2007»
14 years 12 months ago
A null space method for over-complete blind source separation
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
Ray-Bing Chen, Ying Nian Wu