Results 11 to 20 of about 14,330 (285)
Period Disambiguation with Maxent Model [PDF]
This paper presents our recent work on period disambiguation, the kernel problem in sentence boundary identification, with the maximum entropy (Maxent) model. A number of experiments are conducted on PTB-II WSJ corpus for the investigation of how context window, feature space and lexical information such as abbreviated and sentence-initial words affect
Chunyu Kit, Xiaoyue Liu 0004
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MaxEnt versus MaxLike: empirical comparisons with ant species distributions [PDF]
MaxEnt is one of the most widely used tools in ecology, biogeography, and evolution for modeling and mapping species distributions using presence‐only occurrence records and associated environmental covariates.
Matthew C. Fitzpatrick +2 more
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Diagnostic Methods for Maxent Models in Ecology
Understanding the geographic distributions of species is a fundamental problem in ecology. Many different statistical methods for modelling species distributions exist, but the most popular method is currently the machine learning algorithm Maxent. Despite its popularity, Maxent lacks the diagnostic tools available to more mature statistical models. In
Daniel, Jeffrey
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MaxEnt model and Meta-analytic raw data
MaxEnt model and Meta-analytic raw ...
* * (8331963)
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Coffee arabica species have already been affected by climate change, with socioeconomic implications. Smallholder farmers have encountered and will continue to confront issues in maintaining their coffee plants' productivity.
Fedhasa Benti Chalchissa +2 more
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Bioclimatic environmental variables used in MaxEnt model.
Bioclimatic environmental variables used in MaxEnt model.
Jian Ni (134467) +3 more
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Excentrodendron tonkinense is a constructive species of karst seasonal rainforest and a karst obligate plant, which is also one of the national secondary key protected wild plant and an IUCN endangered plant, with high ecological economic value. In order
Yulian WEI +9 more
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A prediction of suitable habitat mapping of Pinus roxburghii sarg. using maxent modeling
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 +1 more
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Convex foundations for generalized MaxEnt models [PDF]
We present an approach to maximum entropy models that highlights the convex geometry and duality of generalized exponential families (GEFs) and their connection to Bregman divergences. Using our framework, we are able to resolve a puzzling aspect of the bijection of Banerjee and coauthors between classical exponential families and what they call ...
Rafael Frongillo, Mark D. Reid
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Environmental variables used in MaxEnt model.
Environmental variables used in MaxEnt model.
Yulin Yang (839480) +5 more
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