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» On Learning with Integral Operators
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JSW
2007
125views more  JSW 2007»
15 years 6 months ago
Description and Composition of E-Learning Services
— In this paper, we present our approach to describe and compose services for distant learning and research activities. For this purpose, we propose a metadata model for indexing...
Oussama Kassem Zein, Yvon Kermarrec
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 9 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
AAAI
2012
13 years 9 months ago
Sparse Probabilistic Relational Projection
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...
Wu-Jun Li, Dit-Yan Yeung
ISCA
2000
IEEE
156views Hardware» more  ISCA 2000»
15 years 11 months ago
CHIMAERA: a high-performance architecture with a tightly-coupled reconfigurable functional unit
Reconfigurable hardware has the potential for significant performance improvements by providing support for application−specific operations. We report our experience with Chimae...
Zhi Alex Ye, Andreas Moshovos, Scott Hauck, Prithv...
ATAL
2007
Springer
15 years 11 months ago
Model-based belief merging without distance measures
Merging operators try to define the beliefs of a group of agents according to the beliefs of each member of the group. Several model-based propositional belief merging operators h...
Verónica Borja Macías, Pilar Pozos P...