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Circulating micro-RNAs as potential blood-based markers for early stage breast cancer detectionPrediction of ubiquitination sites by using the composition of k-spaced amino acid pairsClassifying lower extremity muscle fatigue during walking using machine learning and inertial sensorsPrediction and classification of aminoacyl tRNA synthetases using PROSITE domainsComputational methods in drug discoveryComputational discovery of Epstein-Barr virus targeted human genes and signalling pathways.The power of data mining in diagnosis of childhood pneumonia.One-step extrapolation of the prediction performance of a gene signature derived from a small studyPrediction of individual season of birth using MRIPolar histograms of curvature for quantifying skeletal joint shape and congruenceUniting cheminformatics and chemical theory to predict the intrinsic aqueous solubility of crystalline druglike moleculesThe neural decoding toolboxDoubly Optimized Calibrated Support Vector Machine (DOC-SVM): an algorithm for joint optimization of discrimination and calibrationMultivariate models of inter-subject anatomical variabilityMachine Learning Algorithms for Automatic Classification of Marmoset VocalizationsIdentifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data.Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling.Improving the performance of β-turn prediction using predicted shape strings and a two-layer support vector machine modelUse of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transitionEarly recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification.Automated determination of wakefulness and sleep in rats based on non-invasively acquired measures of movement and respiratory activity.Evaluation of effectiveness of wavelet based denoising schemes using ANN and SVM for bearing condition classification.Feasibility of investigating differential proteomic expression in depression: implications for biomarker development in mood disorders.Individualized Early Prediction of Familial Risk of Dyslexia: A Study of Infant Vocabulary DevelopmentAn empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machineLearning a weighted meta-sample based parameter free sparse representation classification for microarray data.A comparison of different chemometrics approaches for the robust classification of electronic nose data.Prediction as a humanitarian and pragmatic contribution from human cognitive neuroscienceInferring pathway dysregulation in cancers from multiple types of omic data.Comparison of the Prognostic Utility of the Diverse Molecular Data among lncRNA, DNA Methylation, microRNA, and mRNA across Five Human Cancers.Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary ResultsRecursive SVM feature selection and sample classification for mass-spectrometry and microarray data.Classification of Normal and Pathological Gait in Young Children Based on Foot Pressure Data.Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.Performance Evaluation of Machine Learning Methods for Leaf Area Index Retrieval from Time-Series MODIS Reflectance Data.Determining Cutoff Point of Ensemble Trees Based on Sample Size in Predicting Clinical Dose with DNA Microarray DataThe nonlinear predictability of the electrotelluric field variations data analyzed with support vector machines as an earthquake precursor.Inferring function using patterns of native disorder in proteinsHealth monitors for chronic disease by gait analysis with mobile phonesIntegrated application of uniform design and least-squares support vector machines to transfection optimization
P2860
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P2860
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh-hant
name
An overview of statistical learning theory.
@en
An overview of statistical learning theory.
@nl
type
label
An overview of statistical learning theory.
@en
An overview of statistical learning theory.
@nl
prefLabel
An overview of statistical learning theory.
@en
An overview of statistical learning theory.
@nl
P356
P1476
An overview of statistical learning theory.
@en
P2093
V N Vapnik
P304
P356
10.1109/72.788640
P577
1999-01-01T00:00:00Z