Linear rankSVM is one of the widely used methods for learning to rank. Although its
performance may be inferior to nonlinear methods such as kernel rankSVM and gradient …

Ranking a set of documents based on their relevances with respect to a given query is a
central problem of information retrieval (IR). Traditionally people have been using …

Classification is an essential task in data mining, machine learning and pattern recognition
areas. Conventional classification models focus on distinctive samples from different …