Results 1 to 10 of about 27,328 (252)

On a Robust MaxEnt Process Regression Model with Sample-Selection [PDF]

Entropy, 2018
In a regression analysis, a sample-selection bias arises when a dependent variable is partially observed as a result of the sample selection. This study introduces a Maximum Entropy (MaxEnt) process regression model that assumes a MaxEnt prior ...
Hea-Jung Kim, Mihyang Bae, Daehwa Jin
doaj   +5 more sources

Field validation of an invasive species Maxent model

Ecological Informatics, 2016
AbstractAccurate and reliable predictions of invasive species distributions are urgently needed by land managers for developing management plans and monitoring new potential areas of establishment. Presence-only species distribution models are commonly used in these evaluations, however they are rarely tested with independent data over time or compared
Amanda M West, Sunil Kumar, Cynthia S Brown   +2 more
exaly   +2 more sources

Evaluation of Maximum Entropy (Maxent) Machine Learning Model to Assess Relationships between Climate and Corn Suitability

Land, 2022
Given the impact that climate change is projected to have on agriculture, it is essential to understand the mechanisms and conditions that drive agricultural land suitability.
Abigail Fitzgibbon, Dan Pisut, David Fleisher   +2 more
doaj   +3 more sources

Species distribution modelling using MaxEnt: overview and prospects

Theriologia Ukrainica
Niche modeling of species has become increasingly important in the context of accelerating climate change and anthropogenic impacts on the biosphere. One such tool for predicting the potential distribution of species is the maximum entropy method (MaxEnt)
Yuliia Novoseltseva
doaj   +2 more sources

Habitat Suitability of Danaus genutia Based on the Optimized MaxEnt Model. [PDF]

Insects
Danaus genutia, commonly known as the tiger butterfly, is a visually appealing species in the Danaidae family. As it is not currently classified as endangered, it is excluded from key protected species lists at national and local levels, limiting focus on its population and habitat status, which may result in it being overlooked in local butterfly ...
Yao J, Zhou C, Wang W, Li Y, Du T, Shi L.   +5 more
europepmc   +4 more sources

Feature tuning improves MAXENT predictions of the potential distribution of Pedicularis longiflora Rudolph and its variant [PDF]

PeerJ, 2022
Pedicularis longiflora Rudolph and its variant (P. longiflora var. tubiformis (Klotzsch) Tsoong) are alpine plants and traditional Chinese medicines with important medicinal value, and future climate changes may have an adverse impact on their geographic
Ru Bao, Xiaolong Li, Jianghua Zheng
doaj   +2 more sources

CSNE: Conditional Signed Network Embedding [PDF]

, 2020
Signed networks are mathematical structures that encode positive and negative relations between entities such as friend/foe or trust/distrust. Recently, several papers studied the construction of useful low-dimensional representations (embeddings) of ...
Belkin Mikhail, Bhagat Smriti, Bie Tijl De, Cygan Marek, Duijn Marijtje, Jaynes E. T., Kumar S., Lu Chunyu, Mikolov Tomas, Wang Hongwei, Wang Hongwei   +10 more
core   +5 more sources

Prediction of potential suitable area of Phoebe zhennan in Guizhou Province based on MaxEnt model

Guangxi Zhiwu, 2023
To reveal the potential distribution characteristics of Phoebe zhennan in Guizhou Province and its response mode to environmental factors. Based on the geographical distribution points of P.
Shanyun YANG, Mingtai AN, Feng LIU, Yang ZHANG, Li TIAN, Cuiyu CHEN   +5 more
doaj   +1 more source

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

Remote Sensing, 2020
Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development.
Alireza Arabameri, Omid Asadi Nalivan, Sunil Saha, Jagabandhu Roy, Biswajeet Pradhan, John P. Tiefenbacher, Phuong Thao Thi Ngo   +6 more
doaj   +1 more source

A prediction of suitable habitat mapping of Pinus roxburghii sarg. using maxent modeling

Environment Conservation Journal, 2021
Prediction of the potential geographic distribution of species is essential concerning various purposes in protection and conservation. The present study focused on predicting the distribution of Pinus roxburghii Sarg.
Leishangthem Chanu Langlentombi, Manoj Kumar   +1 more
doaj   +1 more source