The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
This paper describes the participation of UAIC team at the LogCLEF 2011 initiative, language identification task. Our approach is an aggregation of known methods for recognizing la...
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
"Numerical Computing with MATLAB is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on informed use of mathematic...