In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
This paper presents methods for a qualitative, unbiased comparison of lexical association measures and the results we have obtained for adjective-noun pairs and preposition-noun-v...
Not long ago m-commerce was proclaimed as the next technological revolution and opportunity for companies to provide a new distribution channel for customers. But, first examples ...
Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...