Maxent.it - Maxent - American Museum of Natural History

Provided by Alexa ranking, maxent.it has ranked N/A in N/A and 6,322,013 on the world. maxent.it reaches roughly 488 users per day and delivers about 14,645 users each month. The domain maxent.it uses a Commercial suffix and it's server(s) are located in N/A with the IP number 185.132.71.3 and it is a .it domain.

WebMaxent is now open source! Use this site to download Maxent software for modeling species niches and distributions by applying a machine-learning technique called maximum entropy modeling. From a set of environmental (e.g., climatic) grids and georeferenced occurrence localities, the model expresses a probability distribution where each grid ...

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  • Maxent - American Museum of Natural History

    amnh.org

    https://biodiversityinformatics.amnh.org/open_source/maxent/

    WebMaxent is now open source! Use this site to download Maxent software for modeling species niches and distributions by applying a machine-learning technique called maximum entropy modeling. From a set of environmental (e.g., climatic) grids and georeferenced occurrence localities, the model expresses a probability distribution where each grid ...

    DA: 68 PA: 90 MOZ Rank: 37

  • Maxent - GBIF

    gbif.org

    https://www.gbif.org/tool/81279/maxent

    WebMaxent is a stand-alone Java application and can be used on any computer running Java version 1.5 or later. Download the software from the Maxent home page. Explore GBIF-relevant scientific literature that uses Maxent.

    DA: 66 PA: 54 MOZ Rank: 58

  • A practical guide to MaxEnt for modeling species’ …

    wiley.com

    https://nsojournals.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1600-0587.2013.07872.x

    WebThe MaxEnt software package is one of the most popular tools for species distribution and environmental niche modeling, with over 1000 published applications since 2006. Its popularity is likely for two reasons: 1) MaxEnt typically outperforms other methods based on predictive accuracy and 2) the software is particularly easy to use.

    DA: 96 PA: 61 MOZ Rank: 50

  • A Brief Tutorial on Maxent - American Museum of Natural …

    amnh.org

    https://biodiversityinformatics.amnh.org/open_source/maxent/Maxent_tutorial2017.pdf

    WebThis tutorial gives a basic introduction to use of the MaxEnt program for maximum entropy modelling of species’ geographic distributions, written by Steven Phillips, Miro Dudik and Rob Schapire, with support from AT&T Labs-Research, Princeton University, and the Center for Biodiversity and Conservation, American Museum of Natural History.

    DA: 71 PA: 78 MOZ Rank: 81

  • A statistical explanation of MaxEnt for ecologists

    wiley.com

    https://onlinelibrary.wiley.com/doi/full/10.1111/j.1472-4642.2010.00725.x

    WebNov 25, 2010 · The MaxEnt fitted function is usually defined over many features, meaning that in most models there will be more features than covariates. MaxEnt currently has six feature classes: linear, product, quadratic, hinge, threshold and categorical (further details in …

    DA: 35 PA: 53 MOZ Rank: 94

  • How to perform species distribution modeling using the software Maxent

    youtube.com

    https://www.youtube.com/watch?v=f9vwrZf6ncU

    WebApr 8, 2019 · Please consider subscribing to my channel by hitting the "Subscribe" button. It is absolutely free and there are no charges. But if you like what I am doing ...

    DA: 31 PA: 39 MOZ Rank: 33

  • GitHub - mrmaxent/Maxent: Maximum entropy modelling of …

    github.com

    https://github.com/mrmaxent/Maxent

    WebMaxent is a stand-alone Java application for modelling species geographic distributions. This open source repository allows the Maxent community to use and contribute to the Java source code for Maxent. For further information and the current Maxent software release, please see the Maxent home page at the American Museum of Natural History ...

    DA: 77 PA: 47 MOZ Rank: 25

  • Getting Started — maxent documentation - GitHub Pages

    github.io

    https://ur-whitelab.github.io/maxent/

    WebGetting Started. This provides a Keras implementation of maximum entropy simulation based inference. The point of this package is to reweight outcomes from a simulator to agree with observations, rather than trying to optimize your simulators input parameters.

    DA: 15 PA: 24 MOZ Rank: 52

  • A practical guide to Maxent: What it does, and why

    researchgate.net

    https://www.researchgate.net/publication/306154781_A_practical_guide_to_Maxent_What_it_does_and_why_inputs_and_settings_matter

    WebJan 1, 2013 · Maxent is a machine learning approach that uses the present location of species as input, known as presence only data (Merow et al., 2013). Maxent is one of the most widely used techniques for ...

    DA: 95 PA: 59 MOZ Rank: 38

  • A Maximum Entropy Approach to Species Distribution Modeling

    schapire.net

    http://rob.schapire.net/papers/maxent_icml.pdf

    WebAbstract. We study the problem of modeling species geographic distributions, a critical problem in conservation biology. We propose the use of maximum-entropy techniques for this prob-lem, specifically, sequential-update algorithms that can handle a …

    DA: 80 PA: 10 MOZ Rank: 70

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6,322,013
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3,133

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2,450

Taiwan

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797

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707

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640

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559

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470

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444

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444

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387

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277

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269

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265

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220

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214

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205

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179

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146

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141

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116

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81

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78

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72

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69

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66

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63

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57

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51

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47

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44

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44

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42

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41

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40

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38

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37

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35

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34

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32

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31

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29

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28

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GR

26

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IP 185.132.71.3
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Domain: maxent.it
Status: ok
Signed: no
Created: 2009-11-04 16:49:27
Last Update: 2024-03-25 12:01:32
Expire Date: 2024-11-04

Registrant
Organization: Maxent Sport S.r.l.
Address: Via Vittorio Emanuele, 43
Albinea
42020
RE
IT
Created: 2022-11-03 16:46:16
Last Update: 2022-11-03 16:46:16

Admin Contact
Name: Massimiliano Pedroni
Organization: Maxent Sport S.r.l.
Address: Via Vittorio Emanuele, 43
Albinea
42020
RE
IT
Created: 2022-11-03 16:46:16
Last Update: 2022-11-03 16:46:16

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