Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.
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Artificial neural networks allow the use of simultaneous measurements of Alzheimer disease markers for early detection of the disease.Feature selection and nearest centroid classification for protein mass spectrometry.Instance-based concept learning from multiclass DNA microarray data.Computational prediction of protein interfaces: A review of data driven methodsText mining for literature review and knowledge discovery in cancer risk assessment and researchInterpreting comprehensive two-dimensional gas chromatography using peak topography maps with application to petroleum forensicsTextual inference for eligibility criteria resolution in clinical trialsSemi-supervised prediction of protein subcellular localization using abstraction augmented Markov modelsDetecting the presence-absence of bluefin tuna by automated analysis of medium-range sonars on fishing vesselsFully Automated Assessment of the Severity of Parkinson's Disease from Speech.Path length entropy analysis of diastolic heart sounds.A new algorithm for reducing the workload of experts in performing systematic reviewsADHD classification by a texture analysis of anatomical brain MRI data.A modular framework for gene set analysis integrating multilevel omics data.Graph-based inter-subject pattern analysis of FMRI data.Support vector machines for dyadic data.Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.Random rotation survival forest for high dimensional censored dataView-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data.Support vector machine for classification of meiotic recombination hotspots and coldspots in Saccharomyces cerevisiae based on codon composition.Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues.Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun StudyStratification bias in low signal microarray studiesGenomic sequence is highly predictive of local nucleosome depletion.New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background.Dimension reduction with redundant gene elimination for tumor classification.Placental determinants of fetal growth: identification of key factors in the insulin-like growth factor and cytokine systems using artificial neural networks.A classification model to predict synergism/antagonism of cytotoxic mixtures using protein-drug docking scoresMachine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast Saccharomyces cerevisiae.Identification of novel DNA repair proteins via primary sequence, secondary structure, and homology.Fast support vector machines for continuous data.Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.Improving the discriminatory power of a near-infrared microscopy spectral library with a support vector machine classifier.Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico studyPolymorphisms in folate-metabolizing genes, chromosome damage, and risk of Down syndrome in Italian women: identification of key factors using artificial neural networks.High-throughput prediction of protein antigenicity using protein microarray data.Regional manifold learning for disease classification.cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate.Artificial astrocytes improve neural network performanceComparison of multivariate classifiers and response normalizations for pattern-information fMRI
P2860
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P2860
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年学术文章
@wuu
1998年学术文章
@zh
1998年学术文章
@zh-cn
1998年学术文章
@zh-hans
1998年学术文章
@zh-my
1998年学术文章
@zh-sg
1998年學術文章
@yue
1998年學術文章
@zh-hant
name
Approximate Statistical Tests ...... ification Learning Algorithms.
@en
Approximate Statistical Tests ...... ification Learning Algorithms.
@nl
type
label
Approximate Statistical Tests ...... ification Learning Algorithms.
@en
Approximate Statistical Tests ...... ification Learning Algorithms.
@nl
prefLabel
Approximate Statistical Tests ...... ification Learning Algorithms.
@en
Approximate Statistical Tests ...... ification Learning Algorithms.
@nl
P1433
P1476
Approximate Statistical Tests ...... ification Learning Algorithms.
@en
P2093
Dietterich TG
P2860
P304
P356
10.1162/089976698300017197
P577
1998-09-01T00:00:00Z