Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
about
Adaptive filtering and random variables coefficient for analyzing functional magnetic resonance imaging data.Discrimination of schizophrenia auditory hallucinators by machine learning of resting-state functional MRIResting State Effective Connectivity Allows Auditory Hallucination Discrimination.Classification of obsessive compulsive disorder by EEG complexity and hemispheric dependency measurements.Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification.Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning.Linear time relational prototype based learning.Assessment of feature selection and classification approaches to enhance information from overnight oximetry in the context of apnea diagnosis.Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy.Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction.Application of higher order cumulant features for cardiac health diagnosis using ECG signals.On the segmentation and classification of hand radiographs.
P2860
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P2860
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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name
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
@en
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
@nl
type
label
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
@en
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
@nl
prefLabel
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
@en
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
@nl
P2093
P2860
P1476
Ranking-based kernels in applied biomedical diagnostics using a support vector machine.
@en
P2093
Arkady Borisov
Pawel Zayakin
Vilen Jumutc
P2860
P304
P356
10.1142/S0129065711002961
P577
2011-12-01T00:00:00Z