Computational models and approaches for lung cancer diagnosis

The success of treatment of patients with cancer depends on establishing an accurate diagnosis. To this end, the aim of this study is to developed novel lung cancer diagnostic models. New algorithms are proposed to analyse the biological data and extract knowledge that assists in achieving accurate diagnosis results

An Incremental Bayesian Approach for Training Multilayer Perceptrons

Abstract. The multilayer perceptron (MLP) is a well established neural network model for supervised learning problems. Furthermore, it is well known that its performance for a given problem depends crucially on appropriately selecting the MLP architecture, which is typically achieved using cross-validation. In this work, we propose an incremental Bayesian methodology to address the important problem of automatic determination of the number of hidden units in MLPs with one hidden layer. The proposed methodology treats the one-hidden layer MLP as a linear model consisting of a weighted combination of basis functions (hidden units). Then an incremental method for sparse Bayesian learning of linear models is employed that effectively adjusts not only the combination weights, but also the parameters of the hidden units. Experimental results for several well-known classification data sets demonstrate that the proposed methodology successfully identifies optimal MLP architectures in terms of generalization error

Design for Customer - Methodik für nachhaltige Kundenlösungen unter Zuhilfenahme eines bedürfnisorientierten Leistungskonfigurators

Zunehmender Wettbewerbsdruck sowie die Internationalisierung der Märkte stellen Unternehmen vor neue Herausforderungen. Eine Möglichkeit sich diesen Herausforderungen zu stellen ist die Vermarktung von Lösungen als Kombination aus Produkten und Dienstleistungen. Die entwickelte Methodik stellt einen Ansatz zur Integration des Kunden in die Prozesse von Lösungsanbietern bereit. Neben der Differenzierung vom Wettbewerb fällt darunter auch die Steigerung von Umsatz und Gewinnmarge