The objective of this chapter is to show that neural networks and fuzzy models can be incorporated in a semi-mechanistic modeling environment in a straightforward manner. The procedure is described by the development of a semi-mechanistic model for a real biochemical process, the enzymatic conversion of Penicillin-G. Two different type of black-box model parts:(i) a fuzzy model, and (ii) a neur...

Semi-supervised learning, which uses a small amount of labeled data in conjunction with a large amount of unlabeled data for training, has recently attracted huge research attention due to the considerable improvement in learning accuracy. In this work, we focus on semisupervised variable weighting for clustering, which is a critical step in clustering as it is known that interesting clustering...

Community detection in real-world graphs has been shown to benefit from using multi-aspect information, e.g., in the form of “means of communication” between nodes in the network. An orthogonal line of work, broadly construed as semi-supervised learning, approaches the problem by introducing a small percentage of node assignments to communities and propagates that knowledge throughout the graph...

This paper investigates the use of semi-supervised learning (SSL) for predicting Alzheimers Disease (AD) conversion in Mild Cognitive Impairment (MCI) patients based on Magnetic Resonance Imaging (MRI). SSL methods differ from standard supervised learning methods in that they make use of unlabeled data in this case data from MCI subjects whose final diagnosis is not yet known. We compare two wi...

We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications such as activity recognition, unlabeled sensor traces are relatively easy to obtain whereas labeled examples are expensive and tedious to collect. Furthermore, the ability to automatically select a small subset of discrimin...

semi-supervised multi-view data Xiaohong Chen, Songcan Chen, Hui Xue , Xudong Zhou 1 Department of Mathematics, Nanjing University of Aeronautics & Astronautics, Nanjing, 210016, China 2 Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, 210016, China 3 State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210093...

To a sequence (sn)n≥0 of real numbers we associate the sequence of Hankel matrices Hn = (si+j), 0 ≤ i, j ≤ n. We prove that if the corresponding sequence of Hankel determinants Dn = detHn satisfy Dn > 0 for n < n0 while Dn = 0 for n ≥ n0, then all Hankel matrices are positive semi-definite, and in particular (sn) is the sequence of moments of a discrete measure concentrated in n0 points on the ...

the purpose of this paper is to study the higher order asymptotic distributions of the eigenvalues associated with a class of sturm-liouville problem with equation of the form w??=(?2f(x)?r(x)) (1), on [a,b, where ? is a real parameter and f(x) is a real valued function in c2(a,b which has a single zero (so called turning point) at point 0x=x and r(x) is a continuously differentiable function. ...

A polynomial function supervising fuzzy sliding mode control (PSFaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semiactive suspension. The multi-objective microgenetic algorithm (MOlGA) has been utilized to determine the PSFaSMC controller’s parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active ...

This paper analyzes utilization of renewable energy systems and efficient building envelopes in the semi-arid climate. The proposed model evaluates renewable energy systems solutions as well as economic- and energy-efficient construction materials for the net zero-energy buildings (NZEB) in semi-arid climates. The objective of this paper is to optimize total energy cost and environmental impact...