A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning...
In this paper, we present the Hidden Discrete Tempo Model, an effective Dynamic Bayesian Network for audio to score matching. Its main feature is an explicit modeling of tempo, wh...
Abstract— The growth of video content and diversification of content-sharing methods in the Internet lead to an exciting range of new problems in networking, communications, and...
In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describ...
The aim of this paper is to describe a generic interface through which a planning tool or design aid can be connected to a telecommunications network. In today's complex and ...