Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
Personalization of web search results as a technique for improving user satisfaction has received notable attention in the research community over the past decade. Much of this wo...
: This paper presents a project that provides both, to professors and to students, a tool that is useful for studying, teaching and learning how pipelines work and how they can be ...
Abstract. This paper discusses the simple open student models used in two of our constraint-based tutors, SQLd KERMIT, and their effects on self-assessment. The systems present a h...