Age prediction using pca, lda and hybrid
SVM
classifier
SVM - Support Vector Machines A new classification method for both linear and nonlinear data It uses a nonlinear mapping to transform the original training.
SVM — Support Vector Machines A new classification method for both linear and nonlinear data It uses a nonlinear mapping to transform the original training.
Ping-Tsun Chang Intelligent Systems Laboratory Computer Science and Information Engineering National Taiwan University Text Mining with Machine Learning.
Start PresentationSeptember 21, 2009 Mixed Quantitative and Qualitative Simulation in Modelica Prof. Dr. François E. Cellier Department of Computer Science.
Random generalized linear model: a highly accurate and interpretable ensemble predictor Song L, Langfelder P, Horvath S. BMC Bioinformatics 2013 Steve.
Artificial Intelligence 7. Decision trees Japan Advanced Institute of Science and Technology (JAIST) Yoshimasa Tsuruoka.
Tips for Training Neural Network scratch the surface.
Kostadin Georgiev, VMware Bulgaria Preslav Nakov , Qatar Computing Research Institute
Inductive Modeling
