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Pattern recognition in bioinformaticsAre Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive AnalyticsFuzzy nonlinear proximal support vector machine for land extraction based on remote sensing image.Integrating heterogeneous genomic data to accurately identify disease subtypesRandom Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data.Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data.Data Field Modeling and Spectral-Spatial Feature Fusion for Hyperspectral Data ClassificationMulti-factorial analysis of class prediction error: estimating optimal number of biomarkers for various classification rules.Sea Ice Detection Based on an Improved Similarity Measurement Method Using Hyperspectral Data.The Model-Based Study of the Effectiveness of Reporting Lists of Small Feature Sets Using RNA-Seq DataExtended averaged learning subspace method for hyperspectral data classification.CanDrA: cancer-specific driver missense mutation annotation with optimized features.iSubgraph: integrative genomics for subgroup discovery in hepatocellular carcinoma using graph mining and mixture models.Analysis of discrimination techniques for low-cost narrow-band spectrofluorometers.Importance of spatial and spectral data reduction in the detection of internal defects in food products.Classification of Salmonella enterica serotypes with selective bands using visible/NIR hyperspectral microscope images.Framework for Mining and Analysis of Standardized Nursing Care Plan Data.Classification and Progression Based on CFS-GA and C5.0 Boost Decision Tree of TCM Zheng in Chronic Hepatitis B.Realising stratified psychiatry using multidimensional signatures and trajectories.Decorrelation of the true and estimated classifier errors in high-dimensional settings.Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions.Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images.The Utility of Multiplex Assays for Identification of Proteomic Signatures in Psychiatry.Advancing emotion theory with multivariate pattern classification.Glyphosate-resistant and glyphosate-susceptible Palmer amaranth (Amaranthus palmeri S. Wats.): hyperspectral reflectance properties of plants and potential for classification.Using support vector machines to identify literacy skills: Evidence from eye movements.An automated skills assessment framework for laparoscopic training tasks.An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons.Multiclass Sparse Bayesian Regression for fMRI-Based PredictionUsing a genetic algorithm as an optimal band selector in the mid and thermal infrared (2.5-14 μm) to discriminate vegetation species.A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features.Dimension Reduction Aided Hyperspectral Image Classification with a Small-sized Training Dataset: Experimental Comparisons.Feature selection and classifier performance in computer-aided diagnosis: the effect of finite sample size.Optimal number of features as a function of sample size for various classification rules.Functional connectivity predicts gender: Evidence for gender differences in resting brain connectivity.Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors.A Markov random field based approach to the identification of meat and bone meal in feed by near-infrared spectroscopic imaging.Confidence intervals for the true classification error conditioned on the estimated error.
P2860
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P2860
description
im Januar 1968 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 1968
@uk
name
On the mean accuracy of statistical pattern recognizers
@en
On the mean accuracy of statistical pattern recognizers
@nl
type
label
On the mean accuracy of statistical pattern recognizers
@en
On the mean accuracy of statistical pattern recognizers
@nl
prefLabel
On the mean accuracy of statistical pattern recognizers
@en
On the mean accuracy of statistical pattern recognizers
@nl
P356
P1476
On the mean accuracy of statistical pattern recognizers
@en
P2093
P356
10.1109/TIT.1968.1054102
P577
1968-01-01T00:00:00Z