Results 21 to 30 of about 14,330 (285)
Optimization, maxent models, and conditional estimation without magic [PDF]
Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology Tutorials - NAACL '03, 2003 This tutorial aims to cover the basic ideas and algorithms behind techniques such as maximum entropy modeling, conditional estimation of generative probabilistic models, and issues regarding the use of models more complex than simple Naive Bayes and Hidden Markov Models.
Christopher D. Manning, Dan Klein 0001
openaire +2 more sources
Frontiers in Environmental Science, 2022 Deyeuxia angustifolia acts as an indicator of the changes in wetland ecosystems and plays an important ecological role in their functions. Previous studies have shown that the Tumen River Basin is of wide global interest as a transboundary basin area ...
Jin Zong +11 more
doaj +1 more source
Collinearity in ecological niche modeling: Confusions and challenges
Ecology and Evolution, 2019 Ecological niche models are widely used in ecology and biogeography. Maxent is one of the most frequently used niche modeling tools, and many studies have aimed to optimize its performance.
Xiao Feng +4 more
doaj +1 more source
Atmosphere, 2022 As one of three major beverages in the world, coffee ranks first in terms of production, consumption, and economic output. However, little is known about the habitat of Arabica coffee and the key environmental factors that influence its ecological ...
Shuo Zhang +5 more
doaj +1 more source
Detecting fingerprints of landslide drivers: A MaxEnt model [PDF]
Journal of Geophysical Research: Earth Surface, 2013 Landslides are important geomorphic events that sculpt river basins by eroding hillslopes and providing sediments to coastal areas. However, landslides are also hazardous events for socio‐ecological systems in river basins causing enormous biodiversity, economic, and social impacts. We propose a probabilistic spatially explicit model for the prediction
Convertino M. +2 more
openaire +3 more sources
Distribution area changes of Cenchrus spinifex in China under climate change scenarios
Guangxi Zhiwu, 2023 Cenchrus spinifex is one of the invasive plant species in China, which seriously affects the animal husbandry and ecological environment in China. In order to predict the change of suitable distribution area of C.
Xiaoli ZHANG, Zening CHEN, Zhengjun WU
doaj +1 more source
The Most Important Factors that Affect the Potential of Groundwater Resources Piranshahr Watershed (West Azarbaijan) Using the MaxEnt Model and the GIS [PDF]
پژوهشهای آبخیزداری, 2020 Groundwater is the most important and vital natural resource in arid and semi-arid regions. The purpose of the study is to determine the potential of groundwater in different areas of the watershed and prioritize the factors affecting it.
Mehdi Teimouri, Omid Asadi Nalivan
doaj +1 more source
Maxent-Stress Optimization of 3D Biomolecular Models
CoRR, 2017 Accepted by 25th Annual European Symposium on Algorithms (ESA 2017)
Michael Wegner +3 more
openaire +4 more sources
Modelling Distributions of Asian and African Rice Based on MaxEnt
Sustainability, 2023 Rice landraces, including Asian rice (Oryza sativa L.) and African rice (Oryza glaberrima Steud.), provide important genetic resources for rice breeding to address challenges related to food security. Due to climate change and farm destruction, rice landraces require urgent conservation action.
Yunan Lin +7 more
openaire +1 more source
Global potential distribution prediction of Xanthium italicum based on Maxent model [PDF]
Scientific Reports, 2021 AbstractAlien invasive plants pose a threat to global biodiversity and the cost of control continues to rise. Early detection and prediction of potential risk areas are essential to minimize ecological and socio-economic costs. In this study, the Maxent model was used to predict current and future climatic conditions to estimate the potential global ...
Yang Zhang +4 more
openaire +3 more sources