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1,075 results for “ML”
Replication Package for 'Analyzing the Evolution and Maintenance of ML Models on Hugging Face'
<p>Replication Package attached to the 'Analyzing the Evolution and Maintenance of ML Models on Hugging Face' article. Within the README and accompanying scripts, you will find detailed instructions to guide you through the analysis conducted in the article.</p>
Replication Package for "Impact of ML Optimization Tactics on Greener Pre-Trained ML Models"
<p>This repository contains the replication package for the paper titled "Impact of ML Optimization Tactics on Greener Pre-Trained ML Models". The README file and accompanying scripts provide detailed instructions to facilitate the replication of the analysis.</p>
FIGURE. Bayesian tree based on nuclear (ITS) sequence data showing phylogenetic position of Hedysarum sunhangii sp. nov. in Subsect. Crinifera. Bayesian posterior probability (PP) / maximum parsimony (MP) are given on each branch, respectively; maximum likelihood (ML) is below branches. in Hedysarum sunhangii (Fabaceae, Hedysareae), a new species from Pamir-Alay (Babatag Ridge - Uzbekistan)
FIGURE. Bayesian tree based on nuclear (ITS) sequence data showing phylogenetic position of Hedysarum sunhangii sp. nov. in Subsect. Crinifera. Bayesian posterior probability (PP) / maximum parsimony (MP) are given on each branch, respectively; maximum likelihood (ML) is below branches.
FIGURE. Bayesian tree based on combined plastid (matK, trnL-trnF) sequence data showing phylogenetic position of Hedysarum sunhangii sp. nov. in Subsect. Crinifera. Bayesian posterior probability (PP) / maximum parsimony (MP) are given on each branch, respectively; maximum likelihood (ML) is below branches in Hedysarum sunhangii (Fabaceae, Hedysareae), a new species from Pamir-Alay (Babatag Ridge - Uzbekistan)
FIGURE. Bayesian tree based on combined plastid (matK, trnL-trnF) sequence data showing phylogenetic position of Hedysarum sunhangii sp. nov. in Subsect. Crinifera. Bayesian posterior probability (PP) / maximum parsimony (MP) are given on each branch, respectively; maximum likelihood (ML) is below branches
FIGURE Phylogenetic relationships of the Coelastrella genus inferred from the 18S-ITS1-5.8S-ITS2 region. The Neighbor-Joining (NJ), Maximum Likelihood (ML) bootstrap values and Bayesian posterior probabilities (PP) are presented at the nodes (NJ/ML/PP). Only values above 75 are shown. Strains provided in this study are indicated in bold font. Authentic strains marked with asterisks. The scale bar represents the number of substitutions per site. The GenBank accession numbers of Coelastrella can be found in the Table 3. in Morphological and phylogenetic relations of members of the genus Coelastrella (Scenedesmaceae, Chlorophyta) from the Ural and Khentii Mountains (Russia, Mongolia)
FIGURE Phylogenetic relationships of the Coelastrella genus inferred from the 18S-ITS1-5.8S-ITS2 region. The Neighbor-Joining (NJ), Maximum Likelihood (ML) bootstrap values and Bayesian posterior probabilities (PP) are presented at the nodes (NJ/ML/PP). Only values above 75 are shown. Strains provided in this study are indicated in bold font. Authentic strains marked with asterisks. The scale bar represents the number of substitutions per site. The GenBank accession numbers of Coelastrella can be found in the Table 3.
FIGURE. Phylogenetic tree based on RAxML analyses of a combined LSU, ITS and SSU dataset. Bootstrap support values for ML and MP equal to or greater than 75% and PP value greater than 0.95 are in thickened. Ex-type isolates are in bold, and new taxa are indicated in red. The tree is rooted with Atractospora aquatica (S-1297) and A. aquatica (MFLU 18–2322). in Conlarium sichuanense sp. nov., on Ficus virens from Sichuan Province, China
FIGURE. Phylogenetic tree based on RAxML analyses of a combined LSU, ITS and SSU dataset. Bootstrap support values for ML and MP equal to or greater than 75% and PP value greater than 0.95 are in thickened. Ex-type isolates are in bold, and new taxa are indicated in red. The tree is rooted with Atractospora aquatica (S-1297) and A. aquatica (MFLU 18–2322).
ML Dataset Cyanobacteria
<p>These contain the positive and negative dataset of cyanobacterial promoter sequences; where each sequence is 100 bases long. The positive dataset has been generated by taking the 100 bases upstream of each gene sequence. The negative dataset has been generated by taking -300 to -200 of particular gene (300 to 200 base upstream sequences are taken)</p> <p> </p>
Experiment Results for the Paper: "Augur: A Step Towards Realistic Drift Detection in Production ML Systems"
<p>Contains the experiment results for the paper "Augur: A Step Towards Realistic Drift Detection in Production ML Systems". More specifically, it contains the inputs and outputs for the different experiments to run using the Predictor tool. More information about the base dataset used in the README.md file. We are going through the code marking and internal approvals process that is required to make the code open source. The process will be complete in time for camera-ready submission if the paper is accepted.</p>
FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants.
FIGURE. Phylogenetic analysis of Chrysosporium spp. based on ITS sequences. Statistical support values (≥50 %) are shown at nodes, and presented as ML bootstrap support/Bayesian posterior probabilities. Names in black bold are the strains isolated in this study, the coloured names are the new species. in Morphological and phylogenetic characterisations reveal nine new species of Chrysosporium (Onygenaceae, Onygenales) in China
FIGURE. Phylogenetic analysis of Chrysosporium spp. based on ITS sequences. Statistical support values (≥50 %) are shown at nodes, and presented as ML bootstrap support/Bayesian posterior probabilities. Names in black bold are the strains isolated in this study, the coloured names are the new species.
Creating Site Specific Synthetic ML Training Datasets for Conservation: Sample Synthetic Training Dataset [Resized]
<p>These files support the paper "Creating Site Specific Synthetic Machine Learning Training Datasets for Conservation" by providing a sample of the synthetic data generated using the described methodology. Additionally, a sample of this dataset could and has been used to train different image classifier machine learning models. </p> <p>The provided ZIP file contains four folders of synthetic training data JPEG images, separated by species, then background-type within the subsequent sub-folders. All of these folders and sub-folders are clearly labeled. The folder marked "Blank Backgrounds" is the only folder with images that DO NOT contain any herpetofauna. Instead, this folder consists of only background images, which were used to train an image classifier model to recognize the presence of (or lack there-of) a herpetofauna specimen within an image. </p> <p><strong>*NOTE - These images were resized for the purposes of efficient upload to Github//Zenodo. There may be same quality/detail loss compared to the original images...*</strong></p>
Aerosol Optics ML Datasets
<p>Data accompanying the paper: Geiss, A., Ma, P-L., Singh, B., and Hardin, J. C., (2022) "Emulating Aerosol Optics with Randomly Generated Neural Networks"</p> <p>note: because of difficulties uploading large files, the "training_data" directory was broken up into 3 different .zip files that will need to be merged after downloading.</p>
PainDatafor_Telemedicine_ML
<p>The dataset includes 158 patients treated for cancer pain via telemedicine (synchronous approach)</p>
Pre-Islamic Alabaster Jar, Mleiha ML 5, Sharjah
Pre-Islamic Alabaster Jar, Mleiha ML 5, Sharjah, UAE. In storage at the Sharjah Archaeology Authority. 250-150 BCE. Catalog number unk. Processed in Reality Capture from 507 images. Source: Objaverse 1.0 / Sketchfab
Pre-Islamic Alabaster Jar, Mleiha ML 5, Sharjah
Pre-Islamic Alabaster Jar, Mleiha ML 5, Sharjah, UAE. In storage at the Sharjah Archaeology Authority. 250-150 BCE. Catalog number unk. Processed in Reality Capture from 441 images. Source: Objaverse 1.0 / Sketchfab
Supplementary material 1 from: Talamas EJ, Mikó I, Johnston-Jordan D (2017) Convergence in the ovipositor system of platygastroid wasps (Hymenoptera). In: Talamas EJ, Buffington ML (Eds) Advances in the Systematics of Platygastroidea. Journal of Hymenoptera Research 56: 263-276. https://doi.org/10.3897/jhr.56.12300
URI table of HAO morphological terms : Explanation note: This table lists the morphological terms used in this publication and their associated concepts in the Hymenoptera Anatomy Ontology.
Supplementary material 1 from: Seidel M, Jameson ML, Stone RL (2017) A new cryptic species and review of the east-Andean leaf chafer genus Mesomerodon Ohaus, 1905 (Coleoptera, Scarabaeidae, Rutelinae). ZooKeys 671: 61-85. https://doi.org/10.3897/zookeys.671.11815
Distribution data for Mesomerodon species (Coleoptera, Scarabaeidae, Rutelinae) : Explanation note: Specimen level data used for niche model, phenology, and overall distribution.
Supplementary material 1 from: Murray BR, Martin LJ, Phillips ML, Pyšek P (2017) Taxonomic perils and pitfalls of dataset assembly in ecology: a case study of the naturalized Asteraceae in Australia. NeoBiota 34: 1-20. https://doi.org/10.3897/neobiota.34.11139
Final dataset : Explanation note: The final dataset (FD) of naturalized species and infra-species of Asteraceae in Australia. GD and RD refer to the Groves et al. (2003) and Randall (2007) source datasets respectively. Comments link the names of taxa to the companion dataset (CD, Suppl. material 2).
Supplementary material 2 from: Murray BR, Martin LJ, Phillips ML, Pyšek P (2017) Taxonomic perils and pitfalls of dataset assembly in ecology: a case study of the naturalized Asteraceae in Australia. NeoBiota 34: 1-20. https://doi.org/10.3897/neobiota.34.11139
Companion dataset : Explanation note: The companion dataset (CD) for naturalized Asteraceae in Australia. GD and RD refer to the Groves et al. (2003) and Randall (2007) source datasets respectively. A 'Y' indicates that the taxon name is checked off against the header category. Comments link the names of taxa to the final dataset (FD, Suppl. material 1).
Supplementary material 2 from: Talamas EJ, Thompson J, Cutler A, Fitzsimmons Schoenberger S, Cuminale A, Jung T, Johnson NF, Valerio AA, Smith AB, Haltermann V, Alvarez E, Schwantes C, Blewer C, Bodenreider C, Salzberg A, Luo P, Meislin D, Buffington ML (2017) An online photographic catalog of primary types of Platygastroidea (Hymenoptera) in the National Museum of Natural History, Smithsonian Institution. In: Talamas EJ, Buffington ML (Eds) Advances in the Systematics of Platygastroidea. Journal of Hymenoptera Research 56: 187–224 https://doi.org/10.3897/jhr.56.10774
Non-primary type specimens of Platygastroidea in USNM : Explanation note: This table contains a list of species and specimens in USNM that are determined to species, but not represented by primary types, and for which images are publicly available.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.