Sciweavers

1364 search results - page 59 / 273
» Sampling Methods for Unsupervised Learning
Sort
View
NIPS
2004
15 years 3 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ISF
2010
164views more  ISF 2010»
14 years 11 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
JIFS
2008
155views more  JIFS 2008»
15 years 2 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
143
Voted
ESWS
2010
Springer
15 years 4 months ago
An Unsupervised Approach for Acquiring Ontologies and RDF Data from Online Life Science Databases
In the Linked Open Data cloud one of the largest data sets, comprising of 2.5 billion triples, is derived from the Life Science domain. Yet this represents a small fraction of the ...
Saqib Mir, Steffen Staab, Isabel Rojas
JMLR
2010
162views more  JMLR 2010»
14 years 9 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...