A new hybrid clustering algorithm based on a three-layer feed forward neural network (FFNN), a distribution density function, and a cluster validity index, is presented in this paper. In this algorithm, both feature weighting and sample weighting are considered, and an optimal cluster number is automatically determined by the cluster validity index. Feature weights are learnt via FFNN based on ...

In this paper, a new two-parameter window function - Raised semi-ellipse (RSE) is proposed. The obtained from fixed elliptical known as Semi-ellipse by raising the radius of minor axis parameter (β), and applied for design finite impulse response (FIR) digital filters. spectral parameters proposed are determined first compared with Kaiser – 2-parameter adjustable window. Subsequently, in its ap...

We investigate the use of voicing in state-of-the-art Large Vocabulary Continuous Audio-visual automatic Speech Recognition (AV-LVCSR). In this work we apply an original adaptive weighting function using voicing level to estimate the appropriate combination weights for each of the modalities. We show that we can improve the state-of-the-art AV-LVCSR performance under speech noise by using a det...

In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss at each time while the loss cannot be disclosed to others for reasons of privacy or confidentiality preservation. Our secure exponential weighting scheme enables exploitation of such private loss values by making use of cryptographic tools. We proved that the regret bound of th...

  Abstract   Background : Although, different studies on end-to-side nerve repair, results are controversial. The importance of this method in case is unavailability of proximal nerve. In this method, donor nerves also remain intact and without injury. In compare to other classic procedures, end-to-side repair is not much time consuming and needs less dissection. Overall, the previous studies i...

Feature weighting is known empirically to improve classification accuracy for k-nearest neighbor classifiers in tasks with irrelevant features. Many feature weighting algorithms are designed to work with symbolic features, or numeric features, or both, but cannot be applied to problems with features that do not fit these categories. This paper presents a new k-nearest neighbor feature weighting...

Text categorization is a task of automatically assigning documents to a set of predefined categories. Usually it involves a document representation method and term weighting scheme. This paper proposes a new term weighting scheme called Modified Inverse Document Frequency (MIDF) to improve the performance of text categorization. The document represented in MIDF is trained using the support vect...

Despite extensive studies, the nature of risk attitudes remains a vigorously discussedquestion in economics and psychology. In expected utility theory, attitudes towardsrisk originate from changes in marginal utility. Cumulative prospect theory (CPT)adds an additional dimension: the weighting of probabilities. By examining bothdimensions, we strive to gain more insight on the re...