نتایج جستجو برای: features selection

تعداد نتایج: 816688  

Journal: :journal of medical signals and sensors 0
hamidreza abbaspour seyyed mohammad razavi nasser mehrshad

over the years, the feasibility of using electrocardiogram (ecg) signal for human identification issue has been investigated, andsome methods have been suggested. in this research, a new effective intelligent feature selection method from ecg signals hasbeen proposed. this method is developed in such a way that it is able to select important features that are necessary for identificationusing a...

Journal: :journal of medical signals and sensors 0

we present a novel and e±cient scheme that selects a minimal set of effective features and channels for detecting the p300 component of the event-related potential in the brain-computer interface (bci) paradigm. for obtaining a minimal set of effective features, we take the truncated coe±cients of discrete daubechies 4 wavelet, and for selecting the effective eeg channels, we utilize an improve...

2014
Chitnis P. O.

In machine learning, feature selection is preprocessing step and can be effectively reduce high dimensional data, remove irrelevant data, increase learning accuracy, and improve result comprehensibility. High dimensionality of data take over efficiency and effectiveness points of view in feature selection algorithm. Efficiency stands required time to find a subset of features, and the effective...

2017
Erica J Newton Brent R Patterson Morgan L Anderson Arthur R Rodgers Lucas M Vander Vennen John M Fryxell

Woodland caribou (Rangifer tarandus caribou) in Ontario are a threatened species that have experienced a substantial retraction of their historic range. Part of their decline has been attributed to increasing densities of anthropogenic linear features such as trails, roads, railways, and hydro lines. These features have been shown to increase the search efficiency and kill rate of wolves. Howev...

Journal: :annals of military and health science research 0
ولی اله صبا valiallah saba radiation research center, faculty of paramedicine, aja university of medical sciences, tehran, iran. آرش راکی arash rocky department of electronic, faculty of engineering, shahid chamran university of ahvaz, ahvaz, iran.

purpose: to assess three main emotions (happy, sad and calm) by various classifiers, using appropriate feature extraction and feature selection. materials and methods: in this study a combination of power spectral density and a series of statistical features are proposed as statistical-frequency features. next, a feature selection method from pattern recognition (pr) tools is presented to extra...

Due to the exponential growth of electronic texts, their organization and management requires a tool to provide information and data in search of users in the shortest possible time. Thus, classification methods have become very important in recent years. In natural language processing and especially text processing, one of the most basic tasks is automatic text classification. Moreover, text ...

Introduction: Application of biofeedback techniques in rehabilitation has turned into an exciting research area during the recent decade. Providing an appropriate visual or auditory biofeedback signal is the most critical requirement of a biofeedback technique. In this regard, changes in Surface Electromyography (SEMG) signals during wrist movement can be used to generate an indictable visual b...

Journal: :Journal of Machine Learning Research 2006
Jing Zhou Dean P. Foster Robert A. Stine Lyle H. Ungar

In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature selection offers many advantages over traditional feature selection methods, which assume that all features are known in advance. Features can be generated dynamically, focusing the search for new features on promising su...

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