A Tutorial on Support Vector Machines for Pattern Recognition
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A new descriptor selection scheme for SVM in unbalanced class problem: a case study using skin sensitisation datasetMachine learning approaches: from theory to application in schizophreniaComputer aided-diagnosis of prostate cancer on multiparametric MRI: a technical review of current researchThe power of data mining in diagnosis of childhood pneumonia.fNIRS-based brain-computer interfaces: a reviewSelf-supervised Chinese ontology learning from online encyclopediasClassification of Camellia (Theaceae) species using leaf architecture variations and pattern recognition techniquesDetecting the presence-absence of bluefin tuna by automated analysis of medium-range sonars on fishing vesselsEstimation of Electrically-Evoked Knee Torque from Mechanomyography Using Support Vector Regression.SVM-Based CAC System for B-Mode Kidney Ultrasound Images.Combining Partial Directed Coherence and Graph Theory to Analyse Effective Brain Networks of Different Mental TasksmyBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event DetectionRational design of temperature-sensitive alleles using computational structure predictionDetecting Nasal Vowels in Speech Interfaces Based on Surface ElectromyographyNaturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.Classification of self-driven mental tasks from whole-brain activity patternsDiscriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification.A vocal-based analytical method for goose behaviour recognition.Predicting individuals' learning success from patterns of pre-learning MRI activity.Statistical image analysis reveals features affecting fates of Myxococcus xanthus developmental aggregates.Image classification of human carcinoma cells using complex wavelet-based covariance descriptors.Multivariate classification of structural MRI data detects chronic low back pain.Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level.Energy-efficient data reduction techniques for wireless seizure detection systems.Getting your peaks in line: a review of alignment methods for NMR spectral data.An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machineA comparison of different chemometrics approaches for the robust classification of electronic nose data.Prediction of human clearance based on animal data and molecular properties.Data mining tools for biological sequences.Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data.Support vector machines in HTS data mining: Type I MetAPs inhibition study.Outcome prediction in pneumonia induced ALI/ARDS by clinical features and peptide patterns of BALF determined by mass spectrometry.Model Comparison for Breast Cancer Prognosis Based on Clinical Data.Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease.RCK: accurate and efficient inference of sequence- and structure-based protein-RNA binding models from RNAcompete data.Random Bits Forest: a Strong Classifier/Regressor for Big Data.Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity Prediction.A novel approach for prediction of vitamin d status using support vector regression.Sparse kernel methods for high-dimensional survival data.
P2860
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P2860
A Tutorial on Support Vector Machines for Pattern Recognition
description
im Januar 1998 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в 1998
@uk
name
A Tutorial on Support Vector Machines for Pattern Recognition
@en
A Tutorial on Support Vector Machines for Pattern Recognition
@nl
type
label
A Tutorial on Support Vector Machines for Pattern Recognition
@en
A Tutorial on Support Vector Machines for Pattern Recognition
@nl
prefLabel
A Tutorial on Support Vector Machines for Pattern Recognition
@en
A Tutorial on Support Vector Machines for Pattern Recognition
@nl
P356
P1476
A Tutorial on Support Vector Machines for Pattern Recognition
@en
P2093
Christopher J.C. Burges
P2888
P304
P356
10.1023/A:1009715923555
P577
1998-01-01T00:00:00Z
P6179
1042048349