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» Learning the Common Structure of Data
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CORR
2008
Springer
143views Education» more  CORR 2008»
15 years 3 months ago
Join Bayes Nets: A new type of Bayes net for relational data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
Oliver Schulte, Hassan Khosravi, Flavia Moser, Mar...
131
Voted
BMCBI
2008
114views more  BMCBI 2008»
15 years 3 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
161
Voted
IEEEICCI
2009
IEEE
15 years 1 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
126
Voted
CHI
1995
ACM
15 years 7 months ago
Finding and Using Implicit Structure in Human-Organized Spatial Layouts of Information
Many interfaces allow users to manipulate graphical objects, icons representing underlying data or the data themselves, against a spatial backdrop or canvas. Users take advantage ...
Frank M. Shipman III, Catherine C. Marshall, Thoma...
ICML
2005
IEEE
16 years 4 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg