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» Learning Models for Multi-Source Integration
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129
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NN
2007
Springer
15 years 2 months ago
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
Prashant Joshi
142
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CVPR
2011
IEEE
14 years 6 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
IJCV
2008
151views more  IJCV 2008»
15 years 2 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
120
Voted
ECTEL
2007
Springer
15 years 8 months ago
Role Based Access Control for the Interaction with Search Engines
Search engine-based features are a basic interaction mean for users to find information inside a Web-based Learning Management Systems (LMS); nonetheless, traditional solutions la...
Alessandro Bozzon, Tereza Iofciu, Wolfgang Nejdl, ...
122
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SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
15 years 4 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens