Libsvm : A library for support vector machines

Fast Training of Support Vector Machines Using Sequential Minimal Optimization

This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a Support Vector Machine (SVM) requires the soluti...

Kernel Logistic Regression and the Import Vector Machine

The support vector machine (SVM) is known for its good performance in two-class classification, but its extension to multiclass classification is still an ongoing research issue...

pGenTHREADER and pDomTHREADER: new methods for improved protein fold recognition and superfamily discrimination

Abstract Motivation: Generation of structural models and recognition of homologous relationships for unannotated protein sequences are fundamental problems in bioinformatics. Im...

Machine Learning: Algorithms, Real-World Applications and Research Directions

MobileNetV2: Inverted Residuals and Linear Bottlenecks

In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as acr...