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Data from: A hierarchical Bayesian approach for handling missing classification data
负责人:
关键词:
N-mixture model;elk;wildlife;Cervus elaphus nelsoni;Hierarchical Bayesian Statistics;abundance;Multi-State Mark-Recapture;population size
DOI:
doi:10.5061/dryad.8h36t01
摘要:
e missing not at random for classification counts. Accounting for classification uncertainty is important to accurately understand the composition of popula
Data from: Behavioral classification of low frequency acceleration and temperature data from a free ranging small mammal
负责人:
Studd, Emily
关键词:
DOI:
doi:10.5061/dryad.1s1m8r7
摘要:
ow that high accuracy in behavioral classification is achievable when pairing low frequency acceleration recordings with temperature. 2. We conducted 84
Data from: Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping
负责人:
关键词:
Environmental matrix;prediction mapping;Machine Learning
DOI:
doi:10.5061/dryad.1m8tg17
摘要:
relationship) to evaluate the performance of four machine learning (ML) classifiers (classification trees, random forests, support vector machines
Data from: Acoustic identification of Mexican bats based on taxonomic and ecological constraints on call design
负责人:
关键词:
guild;acoustic identification;Neotropical;hierarchical classification;Random Forest;Machine Learning;whispering bats
DOI:
doi:10.5061/dryad.760r8
摘要:
within families 72%, species within genera 71·2% and species within guilds 69·1%). Classification accuracy to family, genus and guild-level was 91·7%, 77·8% and 82
Data from: Assessment of plasma proteomics biomarker’s ability to distinguish benign from malignant lung nodules
负责人:
关键词:
DOI:
doi:10.5061/dryad.qc264m2
摘要:
the accuracy of an integrated proteomic classifier in identifying benign nodules in patients with a pretest probability of cancer (pCA) ? 50%. Methods
Data from: Lexicon-enhanced sentiment analysis framework using rule-based classification scheme
负责人:
关键词:
document level.;Sentiment analysis;sentiment classification;sentence level;domain specific;modifiers;sentiment detection;emoticon;rule-based
DOI:
doi:10.5061/dryad.p1j71
摘要:
s, and presence of domain specific words, as they may result in inaccurate classification of users’ reviews. Lexicon-enhanced sentiment analysis based on Rule-based
Data from: Automated segmentation of skin strata in reflectance confocal microscopy depth stacks
负责人:
关键词:
reflectance confocal microscopy;automated;bag of features;anatomy;segmentation;RCM
DOI:
doi:10.5061/dryad.rg58m
摘要:
ng a bag of features approach to represent en-face sections and a logistic regression classifier to classify sections into one of four class
Data from: Using the generalized index of dissimilarity to detect gene-gene interactions in multi-class phenotypes
负责人:
关键词:
DOI:
doi:10.5061/dryad.63nd8
摘要:
classification of the binary phenotypes. Its usual approach to determining the genomic association is to construct a confusion matrix to estimate a classification
Data from: Clinical and metabolic characteristics among Mexican children with different types of diabetes mellitus
负责人:
关键词:
Obesity;Pancreatic autoimmunity;Types of diabetes mellitus;insulin resistance;pediatric
DOI:
doi:10.5061/dryad.fg65j
摘要:
Background: Current classification of diabetes mellitus (DM) is based on etiology and includes type 1 (T1DM), type 2 (T2DM), gestational, and other
Additional file 1: of Spatiotemporal trends in the discovery of new swine infectious agents
负责人:
关键词:
Medicine Microbiology Genetics 59999 Environmental Sciences not elsewhere classified Ecology 69999 Biological Sciences not elsewhere classified Cancer 110309 Infectious Diseases 60506 Virology Computational Biology
DOI:
doi:10.6084/m9.figshare.c.3635666_d3.v1
摘要:
-sequence-based classification system, and recognised by the Rotavirus Classification Working Group are considered. The list of references is available upon request to the authors.

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