MAXENT
Maxent Inc. has continued research in machine learning, complex event handling (CEP), and high performance computing. Research progress in machine learning has fully supported the development of the Fraudynamics ™ Mammoth Anti-Fraud Service Platform. Based on the real-time event and the historical data, the statistical characteristics and potential correlation characteristics are found, and the eigenvalue construction of the fingerprint technology of Maxent's patented device is constructed by using the data mining technology. Feature matrix, the establishment of mathematical models, and dynamically find the characteristics of fraud, non-supervised or semi-supervised way to dynamically adjust the parameters of training algorithm model.
MAXENT
Social Links:
Industry:
Artificial Intelligence Information Technology Machine Learning
Address:
Xuhui, Shanghai, China
Country:
China
Website Url:
http://www.maxent-inc.com
Total Employee:
101+
Status:
Active
Contact:
(400)109-2018
Email Addresses:
[email protected]
Total Funding:
0
Technology used in webpage:
Ruby On Rails Token DNS.COM Nginx 1.6
Similar Organizations
Current Employees Featured
Founder
Investors List
DCM Ventures
DCM Ventures investment in Series A - Maxent
Vertex Ventures
Vertex Ventures investment in Series A - Maxent
Vertex Ventures China
Vertex Ventures China investment in Series A - Maxent
Microsoft Accelerator Beijing
Microsoft Accelerator Beijing investment in Non Equity Assistance - Maxent
Official Site Inspections
http://www.maxent-inc.com
- Host name: 104.21.13.212
- IP address: 104.21.13.212
- Location: United States
- Latitude: 37.751
- Longitude: -97.822
- Timezone: America/Chicago
More informations about "Maxent"
A Brief Tutorial on Maxent - American Museum of Natural History
This 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 …See details»
Maxent - Crunchbase Company Profile & Funding
Maxent Inc. has continued research in machine learning, complex event handling (CEP), and high performance computing. Research progress in machine learning has fully supported the …See details»
No longer a black box: how did Maxent go open-source?
Jul 3, 2017 · Robert Schapire, a machine learning expert at AT&T Labs, suggested an approach with a long history called maximum entropy, or Maxent, and he and Phillips developed an …See details»
Biodiversity Informatics
Maxent is a software package for modeling species niches and distributions by applying a machine-learning technique called maximum entropy modeling.See details»
Maxent - GBIF
Maxent 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 …See details»
Maxent - the original - spatialMaxent
Maxent is a freely available open source software used for Species Distribution Modeling (SDM) and Habitat Suitability Modeling (HSM). It is used to predict the habitat of animals and plants …See details»
Opening the black box: an open-source release of Maxent
Maxent estimates the distribution (geographic range) of a species by finding the distribution which has maximum entropy (i.e. is closest to geographically uniform) subject to constraints derived …See details»
GitHub - mrmaxent/Maxent: Maximum entropy …
19 rows · Maxent 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.See details»
Network of Conservation Educators & Practitioners - American …
Http://ncep.amnh.org/linc 108 Species’ Distribution Modeling for Conservation Educators and Practitioners A Brief Tutorial on Maxent Steven Phillips This tutorial gives a basic introduction …See details»
Maxent - Google Groups
Welcome to the Maxent Google Groups forum. We post and answer questions about species distribution / niche modeling, particularly troubleshooting and best practices for Maxent, …See details»
MaxEnt is Open Source! - burdGIS
MaxEnt (maximum entropy) modelling software has often been accused of being a "black box". Used in ecology for species distribution modelling (SDM) the software has now been released …See details»
Maxent - BCCVL
Maxent, which stands for maximum entropy modelling, predicts species occurrences by finding the distribution that is most spread out, or closest to uniform, while taking into account the …See details»
A practical guide to MaxEnt for modeling species ... - ResearchGate
In this paper, we provide a detailed explanation of how MaxEnt works and a prospectus on modeling options to enable users to make informed decisions when preparing data, choosing …See details»
(Open Access) A practical guide to MaxEnt for modeling species ...
In this paper, we provide a detailed explanation of how MaxEnt works and a prospectus on modeling options to enable users to make informed decisions when preparing data, choosing …See details»
Using the MAXENT program for species distribution modelling to …
Mar 26, 2015 · MAXENT is a software package used to relate known species occurrences to information describing the environment, such as climate, topography, anthropogenic features …See details»
A statistical explanation of MaxEnt for ecologists
Nov 25, 2010 · MaxEnt is a program for modelling species distributions from presence-only species records. This paper is written for ecologists and describes the MaxEnt model from a …See details»
Ecography - Wiley Online Library - Nordic Society Oikos
Jun 18, 2013 · In this paper, we provide a detailed explanation of how MaxEnt works and a prospectus on modeling options to enable users to make informed decisions when preparing …See details»
Ecography E7872
Gain: The penalized likelihood function maximized by MaxEnt. Exponentiating the gain gives the likelihood ratio of an average presence to an average background point. Geographic space: …See details»
A practical guide to Maxent: What it does, and why ... - ResearchGate
Jan 1, 2013 · MaxEnt is an established SDM method that produces an output prediction map containing estimates of the relative probability of suitable habitat areas for the species of …See details»