Computationally biology is the innovative research for better drug designing. A number of classifiers and techniques are used for prediction of secondary structure prediction of proteins. The basic aim of this paper shows the comparative study by using these three models: Artificial Neural Network, Fuzzy Logic, and Hidden Markov Model and to acquire the optimum end result.

You can never get a cup of tea large enough or a book long enough to suit me. Information retrieval performance prediction has been mostly addressed as a query performance issue, which refers to the performance of an information retrieval system in response to a specific query. It also relates to the appropriateness of a query as an expression of the user " s information needs. In general, perf...

In this work the effect of the accuracy of a FAE detonation modeling on the generated blast wave is investigated. First, a one-dimensional numerical simulation with a reduced chemical kinetics of C2H2-O2-Ar, involving 25 elementary reactions, is used as the base model. The properties of the blast calculated with this model is compared with those of simpler models, the similarity solution of Tay...

The object of this paper is to provide a method of cost-benefit analysis of earthquake prediction as a means of mitigation of earthquake effects. The research in earthquake prediction may or may not be successful and involves an initial cost. Earthquake prediction, if achieved, on the one hand provides society with information which allows it to take protective measures. On the other hand, each...

R bounds for position-sensitive max-margin ranking algorithms can be derived straightforwardly from a structural result for Rademacher averages presented by [1]. We apply this result to pairwise and listwise hinge loss that are position-sensitive by virtue of rescaling the margin by a pairwise or listwise position-sensitive prediction loss. Similar bounds have recently been presented for probab...

We investigate the use of prediction as a means of reducing the model cost in lossless data compression. We provide a formal justification to the combination of this widely accepted tool with a universal code based on context modeling, by showing that a combined scheme may result in faster convergence rate to the source entropy. In deriving the main result, we develop the concept of sequential ...

The typical behaviour of the Web search engine user is widely known: a user only types in one or a few keywords and expects the search engine to produce relevant results in an instant. Search engines not only adapt to this behaviour. On the contrary, they are often faced with criticism that they themselves created this kind of behaviour. As search engines are trendsetters for the whole informat...

Many bootstrapping relation extraction systems processing large corpus or working on the Web have been proposed in the literature. These systems usually return a large amount of extracted relationship instances as an out-ofordered set. However, the returned result set often contains many irrelevant or weakly related instances. Ordering the extracted examples by their relevance to the given seed...

Virtual Teams (VTs) offer great advantages but have different challenges compared with co-located teams. This study explores using blogs and email to see if improvements can be made to virtual team effectiveness. This preliminary study is qualitative in nature and uses a quasi-experiment to compare 2 teams performing the same project; one uses email while the other uses a blog tool. Once the pr...