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86
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ICML
2010
IEEE
15 years 1 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
105
Voted
FGCS
2011
115views more  FGCS 2011»
14 years 7 months ago
An approach for virtual appliance distribution for service deployment
Fulfilling a service request in highly dynamic service environments may require deploying a service. Therefore, the effectiveness of service deployment systems affects initial ...
Gabor Kecskemeti, Gábor Terstyánszky...
91
Voted
ISNN
2007
Springer
15 years 6 months ago
Online Dynamic Value System for Machine Learning
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...
Haibo He, Janusz A. Starzyk
ECML
2003
Springer
15 years 6 months ago
Support Vector Machines with Example Dependent Costs
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
Ulf Brefeld, Peter Geibel, Fritz Wysotzki
110
Voted
GCB
2003
Springer
164views Biometrics» more  GCB 2003»
15 years 6 months ago
Integrative machine learning approach for multi-class SCOP protein fold classification
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
Aik Choon Tan, David Gilbert, Yves Deville