UNLABELLED The accuracy of current signal peptide predictors is outstanding. The most successful predictors are based on neural networks and hidden Markov models, reaching a sensitivity of 99% and an accuracy of 95%. Here, we demonstrate that the popular BLASTP alignment tool can be tuned for signal peptide prediction reaching the same high level of prediction success. Alignment-based technique...

Hardware trends point to architectures with increasing numbers of cores and heterogeneity [1]. However, software developed today can only be tested in significantly smaller platforms, due to cost and availability of such platforms. Accurate performance prediction mechanisms would provide many benefits, including improved platform provisioning, which is a significant problem in cloud computing, ...

Consolidated efforts have been made to enhance the treatment and diagnosis of heart disease due its detrimental effects on society. As technology medical diagnostics become more synergistic, data mining storing information can improve patient management opportunities. Therefore, it is crucial examine interdependence risk factors in patients' histories comprehend their respective contributions p...

Sharing of resources by the cores of multi-core processors brings performance issues for the system. Majority of the shared resources belong to memory hierarchy sub-system of the processors such as last level caches, prefetchers and memory buses. Programs co-running on the cores of a multi-core processor may interfere with each other due to usage of such shared resources. Such interference caus...

one of the most important aspects of software project management is the estimation of cost and time required for running information system. therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. software cost estimation refers to the process of development requirement prediction of software system. various kinds of effort estimation patter...

The query-performance prediction task is estimating retrieval effectiveness in the absence of relevance judgments. The task becomes highly challenging over the Web due to, among other reasons, the effect of low quality (e.g., spam) documents on retrieval performance. To address this challenge, we present a novel prediction approach that utilizes queryindependent document-quality measures. While...

The goal of this project was to try and accurately model the performance of the F-104C Starfighter which achieved a new world altitude record on December 14 th , 1959. In completing the project, the goal was to gain a better understanding of the performance modeling of today and flight test methods from the past while creating a drag polar and engine deck which could be used for future applicat...

The query-performance prediction task is estimating the effectiveness of a search performed in response to a query in lack of relevance judgments. Post-retrieval predictors analyze the result list of top-retrieved documents. While many of these previously proposed predictors are supposedly based on different principles, we show that they can actually be derived from a novel unified prediction f...

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