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Data from: A demonstration of unsupervised machine learning in species delimitation
- 负责人：
- DOI：
- doi:10.5061/dryad.nj2mg77
- 摘要：
- y biology supervised machine learning has recently been used to infer species boundaries. These supervised methods require training data with associated labels. Conversely, unsupervised machine learning
Data from: Automatic recognition of self-acknowledged limitations in clinical research literature
- 负责人：
- DOI：
- doi:10.5061/dryad.06ds7
- 摘要：
- ee methods: a rule-based approach based on document structure, supervised machine learning, and a semi-supervised method that uses self-training to expand
Data from: Evaluation of parametric and nonparametric machine-learning techniques for prediction of saturated and near
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.ph0b6k8
- 摘要：
- Parametric and nonparametric supervised machine learning techniques were used to estimate saturated and near saturated hydraulic conductivities (Ks
Data from: Phenotype classification of zebrafish embryos by supervised learning
- 负责人：
- DOI：
- doi:10.5061/dryad.23d30
- 摘要：
- zebrafish embryos according to their defects by using an image analysis approach based on supervised machine learning. We show that, compared to manual classification
Data from: Phylogeography and support vector machine classification of colour variation in panther chameleons
- 负责人：
- DOI：
- doi:10.5061/dryad.74b7h
- 摘要：
- ng a supervised multiclass support vector machine approach on five anatomical components, we identify patterns in 3D colour space that efficiently predict
Data from: Integrating life history traits into predictive phylogeography
- 负责人：
- DOI：
- doi:10.5061/dryad.s6v210k
- 摘要：
- machine-learning approach to predictive phylogeography, especially for the SWAL system, in which predictions made from only taxonomic and climate var
Data from: Accurate inference of tree topologies from multiple sequence alignments using deep learning
- 负责人：
- DOI：
- doi:10.5061/dryad.ct2895s
- 摘要：
- allenges remain, these findings suggest that deep learning approaches such as ours have the potential to produce more accurate phylogenetic inferences.
Data from: Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site
- 负责人：
- DOI：
- doi:10.5061/dryad.026cj63
- 摘要：
- -weighted (T2w) MRI. Methods: 12 different supervised classifier schemes: Quadratic Discriminant Analysis (QDA), Support Vector Machines
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