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144
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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 3 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
154
Voted
MOBIHOC
2012
ACM
13 years 5 months ago
Spatial spectrum access game: nash equilibria and distributed learning
A key feature of wireless communications is the spatial reuse. However, the spatial aspect is not yet well understood for the purpose of designing efficient spectrum sharing mecha...
Xu Chen, Jianwei Huang
ECAL
1995
Springer
15 years 6 months ago
Can Development Be Designed? What we May Learn from the Cog Project
Neither `design' nor `evolutionary' approaches to building behavior-based robots feature a role for development in the genesis of behavioral organization. However, the n...
Julie C. Rutkowska
112
Voted
SIGSOFT
2008
ACM
16 years 4 months ago
Alchemy: transmuting base alloy specifications into implementations
Alloy specifications are used to define lightweight models of systems. We present Alchemy, which compiles Alloy specifications into implementations that execute against persistent...
Shriram Krishnamurthi, Kathi Fisler, Daniel J. Dou...
147
Voted
TKDE
2010
224views more  TKDE 2010»
15 years 1 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela