Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
Abstract. We present a novel system for propositional Answer-Set Programming (ASP). This system, called dynASP, is based on dynamic programming and thus significantly differs fro...
In this paper we present the results of two measurement programs, that were aimed at investigating possible cost drivers for software maintenance. The two measurement programs wer...