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» Computing regularization paths for learning multiple kernels
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111
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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 3 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
109
Voted
ECCV
2010
Springer
15 years 2 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
89
Voted
NOSSDAV
2004
Springer
15 years 5 months ago
AMPS: a flexible, scalable proxy testbed for implementing streaming services
— We present the design, implementation, and performance evaluation of AMPS — a flexible, scalable proxy testbed that supports a wide and extensible set of next-generation pro...
Xiaolan (Ellen) Zhang, Michael K. Bradshaw, Yang G...
118
Voted
TNN
2010
143views Management» more  TNN 2010»
14 years 6 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
PAMI
2012
13 years 2 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
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