Support Vector Machines (SVMs) have been extensively researched in the data mining and
machine learning communities for the last decade and actively applied to applications in …

The problem of learning ranking (or preference) functions has become important in recent
years as various applications have been found in information retrieval. Among the rank …

With the emergence of the deep web, searching web databases in domains such as
vehicles, real estate, etc., has become a routine task. One of the problems in this context is …

Documents come in all shapes and sizes and are created by many different means,
including now-a-days, generative language models. We demonstrate that a simple genetic …

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

Accurate topology identification in a distribution system is essential for its correct operation.
The distribution system can have many configurations based on the position of switches, so …

For most clustering algorithms, their performance will strongly depend on the data
representation. In this paper, we attempt to obtain better data representations through …

Abstract Recently, Support Vector Machines (SVMs) have been applied very effectively in
learning ranking functions (or preference functions). They intend to learn ranking functions …

In this paper, we tackle the tracking problem in a quite other viewpoint, ranking. First, the
ranking SVM is employed to learn a ranking function. Then, the ranking function ranks every …