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AHaH computing-from metastable switches to attractors to machine learningDFA7, a new method to distinguish between intron-containing and intronless genesDecoding representations of face identity that are tolerant to rotationAnalysis of physicochemical and structural properties determining HIV-1 coreceptor usageSystematic artifacts in support vector regression-based compound potency prediction revealed by statistical and activity landscape analysisMultiplexed immunoassay panel identifies novel CSF biomarkers for Alzheimer's disease diagnosis and prognosisAutomatic diagnosis of pathological myopia from heterogeneous biomedical dataIdentifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data.Fuzzy nonlinear proximal support vector machine for land extraction based on remote sensing image.Knowledge representation of motor activity of patients with Parkinson's diseaseA practical approach to Sasang constitutional diagnosis using vocal features.Discriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.Techniques to cope with missing data in host-pathogen protein interaction prediction.kmer-SVM: a web server for identifying predictive regulatory sequence features in genomic data setsMorphological Neuron Classification Using Machine LearningRobust selection of cancer survival signatures from high-throughput genomic data using two-fold subsamplingAutomatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease.Ensemble Feature Learning of Genomic Data Using Support Vector Machine.biosigner: A New Method for the Discovery of Significant Molecular Signatures from Omics Data.Comments on: Probability Enhanced Effective Dimension Reduction for Classifying Sparse Functional Data.An Efficient Data Partitioning to Improve Classification Performance While Keeping Parameters Interpretable.Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies.Large-margin classification in infinite neural networks.Application of random forests methods to diabetic retinopathy classification analyses.Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorderClassification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms.Predicting juvenile offending: a comparison of data mining methods.Decoding the large-scale structure of brain function by classifying mental States across individualsSegmentation of multi-isotope imaging mass spectrometry data for semi-automatic detection of regions of interestNovel machine learning methods for ERP analysis: a validation from research on infants at risk for autism.Profile-based string kernels for remote homology detection and motif extraction.A model of functional brain connectivity and background noise as a biomarker for cognitive phenotypes: application to autismInclusion of plasma lipid species improves classification of individuals at risk of type 2 diabetes.Integrating diverse datasets improves developmental enhancer predictionEnhanced regulatory sequence prediction using gapped k-mer features.A system for heart sounds classification.Decoding thalamic afferent input using microcircuit spiking activity.The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.Classification and identification of pigmented cocci bacteria relevant to the soil environment via Raman spectroscopy.Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint
P2860
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P2860
description
1992 nî lūn-bûn
@nan
1992年の論文
@ja
1992年学术文章
@wuu
1992年学术文章
@zh
1992年学术文章
@zh-cn
1992年学术文章
@zh-hans
1992年学术文章
@zh-my
1992年学术文章
@zh-sg
1992年學術文章
@yue
1992年學術文章
@zh-hant
name
A training algorithm for optimal margin classifiers
@en
A training algorithm for optimal margin classifiers
@nl
type
label
A training algorithm for optimal margin classifiers
@en
A training algorithm for optimal margin classifiers
@nl
prefLabel
A training algorithm for optimal margin classifiers
@en
A training algorithm for optimal margin classifiers
@nl
P50
P356
P1476
A training algorithm for optimal margin classifiers
@en
P356
10.1145/130385.130401
P577
1992-01-01T00:00:00Z