AIMC Topic: Support Vector Machine

Clear Filters Showing 4931 to 4940 of 4975 articles

Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.

Neuroinformatics
Research on an early detection of Mild Cognitive Impairment (MCI), a prodromal stage of Alzheimer's Disease (AD), with resting-state functional Magnetic Resonance Imaging (rs-fMRI) has been of great interest for the last decade. Witnessed by recent s...

Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis.

Cell
Proteomics has proved invaluable in generating large-scale quantitative data; however, the development of systems approaches for examining the proteome in vivo has lagged behind. To evaluate protein abundance and localization on a proteome scale, we ...

[Automatic Sleep Staging Method Based on Energy Features and Least Squares Support Vector Machine Classifier].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The research of sleep staging is not only the basis of diagnosing sleep related diseases, but also the precondition of evaluating sleep quality, and has important clinical significance. In recent years, the research of automatic sleep staging based o...

[Study on Sleep Staging Based on Support Vector Machines and Feature Selection in Single Channel Electroencephalogram].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Sleep electroencephalogram (EEG) is an important index in diagnosing sleep disorders and related diseases. Manual sleep staging is time-consuming and often influenced by subjective factors. Existing automatic sleep staging methods have high complexit...

Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.

Journal of digital imaging
Breast cancer is the second most common type of cancer in the world. Several computer-aided detection and diagnosis systems have been used to assist health experts and to indicate suspect areas that would be difficult to perceive by the human eye; th...

Constructing and validating readability models: the method of integrating multilevel linguistic features with machine learning.

Behavior research methods
Multilevel linguistic features have been proposed for discourse analysis, but there have been few applications of multilevel linguistic features to readability models and also few validations of such models. Most traditional readability formulae are ...

Fusion analysis of functional MRI data for classification of individuals based on patterns of activation.

Brain imaging and behavior
Classification of individuals based on patterns of brain activity observed in functional MRI contrasts may be helpful for diagnosis of neurological disorders. Prior work for classification based on these patterns have primarily focused on using a sin...

Focus-independent particle size measurement from streak images: a comparison of multivariate methods.

The Analyst
Our laboratories have recently developed a flow-through imaging photometer to characterize and classify fluorescent particles between 3 and 47 μm in size. The wide aperture of the objective lens (0.7 NA) required for measuring spectral fluorescence o...

[Application of support vector machine approach in studying nephron toxicity of Chinese medicinal materials].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
On the basis of web databases, 111 compounds with nephrotoxicity and 90 compounds without nephrotoxicity were collected as data set of nephrotoxicity discrimination model, 39 compounds with tubular necrosis and 39 compounds without tubular necrosis w...