a new structure learning approach for bayesian networks (bns) based on asexual reproduction optimization (aro) is proposed in this letter. aro can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. in aro, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survi...

New structure and training algorithms of the RBF-type neural network are proposed. An extra neuron layer is added to realize the principal component method. A novel training algorithm is designed for training each separate neuron in the hidden layer, which guarantees the efficiency and finiteness of the training procedure. Results were obtained for a variety of problems. In particular, the resu...

One of the major research directions in computational group theory over the past 15 years has been the development of effective algorithms for the investigation of subgroups of GL(d, F ) where F is a finite field. We survey this work. 2000 Mathematics Subject Classification: 20C20, 20C40

Text clustering methods can be used to group large sets of text documents. Most of the text clustering methods do not address the problems of text clustering such as very high dimensionality of the data and understandability of the clustering descriptions. In this paper, a frequent term based approach of clustering has been introduced; it provides a natural way of reducing a large dimensionalit...

The volumes and costs of video storage and transmission are soaring. This situation can only be ameliorated by massive investments in infrastructure or by technological breakthroughs or both. This paper presents one such technological breakthrough that can reduce the size of any video file compressed by any existing video codec, e.g., MPEG-4, H.264, DivX, VC-1, etc., to between 25% and 10% of s...

Software testing is an indispensible part of software development. It increases the confidence of programmer and user in the reliability and accuracy of software. However, it is a laborious and time-consuming task. Almost half of the software development resources spend on testing the software. Automatic software testing can substantially reduce the cost of development of software. Further exha...

Black-box (functional) test cases are identified from functional requirements of the tested system, which is viewed as a mathematical function mapping its inputs onto its outputs. While the number of possible black-box tests for any non-trivial program is extremely large, the testers can run only a limited number of test cases under their resource limitations. An effective set of test cases is ...

Learning human cytogenetics is important for biology education and training of clinical cytogenetics technologists. To increase the resources of metaphase spreads with different chromosomes shapes for student practice, we describe effective algorithms for such purposes to enhance our cytogenetics tutorial program.

Under the assumption of (positive) homogeinity (PH in the sequel) of the corresponding utility functions, we construct polynomial time algorithms for the weak separability, the collective consumption behavior and some related problems. These problems are known to be at least NP -hard if the homogeinity assumption is dropped.