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» Imaginaries in Hilbert spaces
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JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
TVCG
2011
119views more  TVCG 2011»
13 years 2 months ago
Toward High-Quality Gradient Estimation on Regular Lattices
—In this paper, we present two methods for accurate gradient estimation from scalar field data sampled on regular lattices. The first method is based on the multidimensional Tayl...
Zahid Hossain, Usman R. Alim, Torsten Möller
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
JELIA
2004
Springer
14 years 1 months ago
Reasoning About Quantum Systems
Abstract. A new logic is proposed for reasoning about quantum systems. The logic embodies the postulates of quantum physics and it was designed from the semantics upwards by identi...
Paulo Mateus, Amílcar Sernadas
ESWS
2009
Springer
14 years 2 months ago
An Ontology of Resources: Solving the Identity Crisis
The primary goal of the Semantic Web is to use URIs as a universal space to name anything, expanding from using URIs for webpages to URIs for “real objects and imaginary concepts...
Harry Halpin, Valentina Presutti