Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Abstract. A concept of annotations for rendering procedural aspects of Prolog is presented, built around wellknown procedural concepts of Standard Prolog. Annotations describe prop...
In this work, we develop a partial evaluation technique for residuating functional logic programs, which generalize the concurrent computation models for logic programs with delays...