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» A General Model for Multiple View Unsupervised Learning
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ICML
2005
IEEE
14 years 11 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
SPIESR
1996
141views Database» more  SPIESR 1996»
13 years 11 months ago
Describing and Classifying Multimedia Using the Description Logic GRAIL
Many applications would benefit if media objects such as images could be selected and classified (or clustered) such that "conceptually similar" images are grouped toget...
Carole A. Goble, Christian Haul, Sean Bechhofer
CSDA
2008
121views more  CSDA 2008»
13 years 10 months ago
ANOVA extensions for mixed discrete and continuous data
This paper is concerned withANOVA-like tests in the context of mixed discrete and continuous data. The likelihood ratio approach is used to obtain a location test in the mixed dat...
A. R. de Leon, Y. Zhu
ICCV
2011
IEEE
12 years 10 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
AGENTS
2000
Springer
14 years 2 months ago
Automated assistants to aid humans in understanding team behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
Taylor Raines, Milind Tambe, Stacy Marsella