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Data from: Object recognition and localization from 3D point clouds by maximum-likelihood estimation
- 负责人：
- DOI：
- doi:10.5061/dryad.37k3n
- 摘要：
- 3D point clouds. Surfaces segmented from depth images are used as the features, unlike ‘interest point’-based algorithms which normally discard such data. Compared
Data from: Tuning Geometric Morphometrics: an R tool to reduce information loss caused by surface smoothing
- 负责人：
- DOI：
- doi:10.5061/dryad.28631
- 摘要：
- , which can be counteracted by applying decimation and smoothing algorithms. Nevertheless, smoothing algorithms can have detrimental effects. This work aims
Data from: SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.n7m28
- 摘要：
- h prediction algorithms depends on the quality of the multiple-sequence alignment, which is used to infer how an amino acid substitution is tolerated at a given position
Data from: Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit
- 负责人：
- DOI：
- doi:10.5061/dryad.ck2br
- 摘要：
- This paper focuses on designing and implementing parallel adaptive inverse distance weighting (AIDW) interpolation algorithms by usi
Data from: The effect of close relatives on unsupervised Bayesian clustering algorithms in population genetic structure analysis
- 负责人：
- DOI：
- doi:10.5061/dryad.668tn571
- 摘要：
- and evolutionary biology. Recently, unsupervised Bayesian clustering algorithms have been developed to detect a hidden population structure from genotypic data, assuming amo
Data from: Effectiveness and safety of 1 vs 4?h blood pressure profile with clinical and laboratory assessment for the exclusion
- 负责人：
- DOI：
- doi:10.5061/dryad.0bq15
- 摘要：
- s inclusive screening algorithms. We determined short-term outcomes (within 4?h): severe hypertension, proteinuric hypertension and pregnancy-induced
Data from: Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals
- 负责人：
- DOI：
- doi:10.5061/dryad.n7n85
- 摘要：
- ful for dynamically unfolding evolutionary stories. This limitation can be addressed by applying a class of Bayesian statistical inference algorithms cal
Data from: AudioMoth: evaluation of a smart open acoustic device for monitoring biodiversity and the environment
- 负责人：
- Hill, Andrew
- 关键词：
- Shotgun ratios
- DOI：
- doi:10.5061/dryad.369n9
- 摘要：
- demonstrate one of the smart capabilities of AudioMoth, to trigger event logging on the basis of classification algorithms that identify specific acoustic
Data from: Model selection and parameter inference in phylogenetics using nested sampling
- 负责人：
- DOI：
- doi:10.5061/dryad.220d6t5
- 摘要：
- Bayesian inference methods rely on numerical algorithms for both model selection and parameter inference. In general, these algorithms require
Data from: Minimizing the average distance to a closest leaf in a phylogenetic tree
- 负责人：
- DOI：
- doi:10.5061/dryad.md023
- 摘要：
- of the Average Distance to the Closest Leaf (ADCL) and investigate algorithms to perform the relevant minimization. We show that the greedy algorithm is not effective, sh
