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» Support Vector Machines: Theory and Applications
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JMLR
2012
11 years 11 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
ML
2008
ACM
162views Machine Learning» more  ML 2008»
13 years 8 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
IUI
2004
ACM
14 years 1 months ago
Classifying and assessing tremor movements for applications in man-machine intelligent user interfaces
We introduce a new intelligent user interface (IUI) and, also, a new methodology to identify the fatigue state for healthy subjects. The fatigue state is determined by means of a ...
Dan Marius Dobrea, Horia-Nicolai L. Teodorescu
ANOR
2006
74views more  ANOR 2006»
13 years 8 months ago
Electroencephalogram (EEG) time series classification: Applications in epilepsy
Epilepsy is among the most common brain disorders. Approximately 25
Wanpracha Art Chaovalitwongse, Oleg A. Prokopyev, ...
SEKE
2007
Springer
14 years 2 months ago
An Approach to Software Testing of Machine Learning Applications
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
Chris Murphy, Gail E. Kaiser, Marta Arias