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EVOLUTIONARY OPTIMIZATION OF SUPPORT VECTOR MACHINES
The Development of Soil Compressibility Prediction Models and Application to Site Settlement
Cost-Sensitive Learning-based Methods for Imbalanced Classification Problems with Applications
Mahalanobis kernel-based support vector data description for detection of large shifts in mean vector
DECISION THEORY CLASSIFICATION OF HIGH-DIMENSIONAL VECTORS BASED ON SMALL SAMPLES
IMPROVING FMRI CLASSIFICATION THROUGH NETWORK DECONVOLUTION
FEATURE PRUNING FOR ACTION RECOGNITION IN COMPLEX ENVIRONMENT
Speech Detection using Gammatone Features and One-Class Support Vector Machine
EFFICIENT TECHNIQUES FOR RELEVANCE FEEDBACK PROCESSING IN CONTENT-BASED IMAGE RETRIEVAL
Context-Centric Affect Recognition From Paralinguistic Features of Speech
Learning to Grasp Unknown Objects using Weighted Random Forest Algorithm from Selective Image and Point Cloud Feature
Practical Implementations of the Active Set Method for Support Vector Machine Training with Semi-definite Kernels
Automatic Detection of Brain Functional Disorder Using Imaging Data