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» Predicting Time Series with Support Vector Machines
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BMCBI
2008
118views more  BMCBI 2008»
15 years 4 months ago
Virtual screening of GPCRs: An in silico chemogenomics approach
The G-protein coupled receptor (GPCR) superfamily is currently the largest class of therapeutic targets. In silico prediction of interactions between GPCRs and small molecules is ...
Laurent Jacob, Brice Hoffmann, Véronique St...
ICPR
2008
IEEE
15 years 10 months ago
Computer-aided grading of lymphangioleiomyomatosis (LAM) using HRCT
Lymphangioleiomyomatosis (LAM) is a multisystem disorder associated with proliferation of smooth muscle-like cells, which leads to destruction of lung parenchyma. Subjective gradi...
Jianhua Yao, Nilo Avila, Andrew Dwyer, Angelo M. T...
ICPR
2008
IEEE
15 years 10 months ago
A fast revised simplex method for SVM training
Active set methods for training the Support Vector Machines (SVM) are advantageous since they enable incremental training and, as we show in this research, do not exhibit exponent...
Christopher Sentelle, Georgios C. Anagnostopoulos,...
ICIAR
2004
Springer
15 years 9 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
ESANN
2007
15 years 5 months ago
Pattern Recognition using Chaotic Transients
This paper proposes a novel nonlinear transient computation device described as the LTCM that uses the chaotic attractor provided by the Lorenz system of equations to perform patte...
Wee Jin Goh, Nigel Crook