An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
The classification task is one of the most important problems in the area of data mining. In this paper we propose a new algorithm for addressing this problem. The main idea deriv...
In this paper we propose a modified Fuzzy Technique for Order Performance by Similarity to Ideal Solution (modified Fuzzy TOPSIS) for the Multi-criteria Decision Making (MCDM) prob...
This paper aims at describing Carnival, a movie on demand system that provides Movie on demand service by implementing low cost storage architecture for movie storage server. Carn...
Sachin Agarwal 0002, Raman Mittal, Aayush Deep Gar...
In Internet marketing, Web audience analysis is essential to understanding the visitors’ needs. However, the existing analysis tools fail to deliver summarized and conceptual me...
This paper presents the comparison of performance on a simple genetic algorithm (SGA) using roulette wheel selection and tournament selection. A SGA is mainly composed of three ge...
We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons sh...
This paper describes a Rule Based Service Level Agreement language called RBSLA which is based on RuleML. With this language SLAs can be implemented in a machine readable syntax w...