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PR
2007
139views more  PR 2007»
15 years 4 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai
AUTOMATICA
2008
107views more  AUTOMATICA 2008»
15 years 3 months ago
Incorporating oligopoly, CO2 emissions trading and green certificates into a power generation expansion model
This paper presents a generation expansion model for the power sector which incorporates several features that make it very interesting for its application to current electricity m...
Pedro Linares, Francisco Javier Santos, Mariano Ve...
CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 3 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
CORR
2008
Springer
142views Education» more  CORR 2008»
15 years 3 months ago
A Join Index for XML Data Warehouses
XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native-XML database management systems (DBMSs) currently bear l...
Hadj Mahboubi, Kamel Aouiche, Jérôme ...
JSAC
2010
84views more  JSAC 2010»
15 years 3 months ago
A little feedback can simplify sensor network cooperation
—Shannon’s discovery of digital communication has shaped the architecture of virtually all communication systems in use today. The digital communication paradigm is built aroun...
Anand D. Sarwate, Michael Gastpar