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» Reverse Engineering of Tree Kernel Feature Spaces
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JMLR
2011
148views more  JMLR 2011»
13 years 4 days 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
CG
2006
Springer
13 years 5 months ago
Shape reasoning and understanding
s: clustering, denoising, sharp feature, shape abstraction, reverse engineering In this paper we describe a hierarchical face clustering algorithm for triangle meshes based on fit...
Bianca Falcidieno, Remco C. Veltkamp
FSTTCS
2007
Springer
13 years 9 months ago
Efficient and Expressive Tree Filters
Abstract. We investigate streaming evaluation of filters on XML documents, evaluated both at the root node and at an arbitrary node. Motivated by applications in protocol processin...
Michael Benedikt, Alan Jeffrey
ICML
2003
IEEE
14 years 6 months ago
Marginalized Kernels Between Labeled Graphs
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi
BMCBI
2007
154views more  BMCBI 2007»
13 years 5 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...