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» Maximal Vector Computation in Large Data Sets
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DSMML
2004
Springer
15 years 10 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
BMCBI
2007
154views more  BMCBI 2007»
15 years 4 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato
ICASSP
2011
IEEE
14 years 8 months ago
An efficient rank-deficient computation of the Principle of Relevant Information
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
Luis Gonzalo Sánchez Giraldo, José C...
PAMI
1998
197views more  PAMI 1998»
15 years 4 months ago
Inference of Integrated Surface, Curve, and Junction Descriptions From Sparse 3D Data
—We are interested in descriptions of 3D data sets, as obtained from stereo or a 3D digitizer. We therefore consider as input a sparse set of points, possibly associated with cer...
Chi-Keung Tang, Gérard G. Medioni
DEXA
2009
Springer
201views Database» more  DEXA 2009»
15 years 11 months ago
Dynamic Query Processing for P2P Data Services in the Cloud
With the trend of cloud computing, data and computing are moved away from desktop and are instead provided as a service from the cloud. Data-as-a-service enables access to a wealth...
Pawel Jurczyk, Li Xiong