Abstract. In this paper we give a systematic analysis of the relationship between imbalance and overlap as factors influencing classifier performance. We demonstrate that these t...
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
This article presents the system “Neural Connect 4”, a program that plays the game Connect Four. This system employs the multilayer perceptron architecture which is learning t...
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
We present the role that spectral methods play in the development of the most impressive quantum algorithms, such as the polynomial time number factoring algorithm by Shor. While ...
By analyzing the working characteristics of binary Schmitt circuits we find their sequential characteristics, which makes us follow the method of sequential circuits to design Sch...
An impact of introducing multi-level signals to a bandpass delta-sigma modulator (DSM), which is of particular interest for wireless communications applications, has been investig...
This paper considers quasi-reduced multi-valued decision diagrams with bits (QRMDD( )s) to represent twovalued logic functions. It shows relations between the numbers of nodes in ...
Decision diagrams are the state-of-the-art representation for logic functions, both binary and multiple-valued. Here we consider ways to improve the construction of multiple-value...
A generalization of McMillan’s conjunctive expansion of Boolean functions [1] to the case of multiple-valued input binary-valued output functions is presented. It is based on th...