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» A CSP Search Algorithm with Responsibility Sets and Kernels
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JMLR
2011
142views more  JMLR 2011»
14 years 4 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
CIKM
2009
Springer
15 years 4 months ago
Learning to rank graphs for online similar graph search
Many applications in structure matching require the ability to search for graphs that are similar to a query graph, i.e., similarity graph queries. Prior works, especially in chem...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
QRE
2008
140views more  QRE 2008»
14 years 9 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
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CVPR
2009
IEEE
16 years 4 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...
ICCAD
2004
IEEE
83views Hardware» more  ICCAD 2004»
15 years 6 months ago
Custom-optimized multiplierless implementations of DSP algorithms
Linear DSP kernels such as transforms and filters are comprised exclusively of additions and multiplications by constants. These multiplications may be realized as networks of ad...
Markus Püschel, Adam C. Zelinski, James C. Ho...