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» Learning from Multiple Sources of Inaccurate Data
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125
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ACL
2008
15 years 5 months ago
Unsupervised Multilingual Learning for Morphological Segmentation
For centuries, the deep connection between languages has brought about major discoveries about human communication. In this paper we investigate how this powerful source of inform...
Benjamin Snyder, Regina Barzilay
156
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IWMMDBMS
1998
139views more  IWMMDBMS 1998»
15 years 5 months ago
Fusion of Multimedia Information
: In recent years the fusion of multimedia information from multiple real-time sources and databases has become increasingly important because of its practical significance in many...
Shi-Kuo Chang, Taieb Znati
156
Voted
AIR
1999
136views more  AIR 1999»
15 years 3 months ago
A Framework for Collaborative, Content-Based and Demographic Filtering
We discuss learning a profile of user interests for recommending information sources such as Web pages or news articles. We describe the types of information available to determin...
Michael J. Pazzani
129
Voted
ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
15 years 1 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
149
Voted
ECCV
2010
Springer
15 years 6 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...