Apolipoprotein is a kind of protein which can transport the lipids through the lymphatic and circulatory systems. The abnormal expression level of apolipoprotein always causes angiocardiopathy. Thus, correct recognition of apolipoprotein from proteomic data is very crucial to the comprehension of cardiovascular system and drug design. This study is to develop a computational model to predict ap...

A key task of data science is to identify relevant features linked certain output variables that are supposed be modeled or predicted. To obtain a small but meaningful model, it important find stochastically independent capturing all the information necessary model predict sufficiently. Therefore, we introduce in this work framework detect linear and non-linear dependencies between different fe...

The quality of feature has significant impact on the performance of detection techniques used for Denial-of-Service (DoS) attack. The features that fail to provide accurate characterization for network traffic records make the techniques suffer from low accuracy in detection. Although researches have been conducted and attempted to overcome this problem, there are some constraints in these work...

SUMMARY Feature transformation in automatic text classification (ATC) can lead to better classification performance. Furthermore dimen-sionality reduction is important in ATC. Hence, feature transformation and dimensionality reduction are performed to obtain lower computational costs with improved classification performance. However, feature transformation and dimension reduction techniques hav...

Herbs discrimination by investigating volatile compound using Gas Chromatography Mass Spectrometry (GCMS) is a common method adopted botanists and scientists. Based on this method, usually scientists would only focus the major in order to determine species of herbs. However, it difficult differentiate herbs same family group based pattern chromatography signal since they may have almost similar...

feature geometry, which is a basic assumption in current phonology, is concerned with the notion that the features are not an unstructured set, but are arranged hierarchically into a constituent structure tree. according to evidences in different languages, various models have been set forth on feature geometry framework. exploring persian phonological data and digging up evidences accordingly,...

Linear feature transformation technique is widely used to improve feature discriminability. It can reduce the dimensionality of the feature space, un-correlate the feature components, hence more discriminative model can be obtained. In this paper we compare three discriminative linear transformation approaches in Mandarin digit string recognition (MDSR) system. Compared with the conventional Li...