Results 121 to 130 of about 40,915 (303)
Explicit probabilistic models for databases and networks
Recent work in data mining and related areas has highlighted the importance of the statistical assessment of data mining results. Crucial to this endeavour is the choice of a non-trivial null model for the data, to which the found patterns can be ...
De Bie, Tijl
core
Extremum-entropy-based Heisenberg-like uncertainty relations
In this work we use the extremization method of various information-theoretic measures (Fisher information, Shannon entropy, Tsallis entropy) for $d$-dimensional quantum systems, which complementary describe the spreading of the quantum states of natural
Dehesa, J. S.+3 more
core +1 more source
Conservation for marine megafaunal predators needs to improve as they are key for ecosystem functioning. We show that different marine predator taxonomic groups have heterogeneous distributions resulting in different spatial conservation priority areas. Current Mediterranean MPAs are failing to sufficiently cover their distributions.
Elizabeth Boyse+2 more
wiley +1 more source
How do ecologists estimate occupancy in practice?
Over 20 years ago, ecologists were introduced to the site occupancy model (SOM) for estimating occupancy rates from detection‐nondetection data. In the ensuing decades, the SOM and its hierarchical modeling extensions have become mainstays of quantitative ecology, and estimating occupancy rates has become one of the most common applications of ...
Benjamin R. Goldstein+9 more
wiley +1 more source
Host-to-host variation of ecological interactions in polymicrobial infections
Host-to-host variability with respect to interactions between microorganisms and multicellular hosts are commonly observed in infection and in homeostasis. However, the majority of mechanistic models used in analyzing host-microorganism relationships, as
Das, Jayajit+7 more
core +1 more source
Parsimonious machine learning for the global mapping of aboveground biomass potential
Advances in computational power and methods, and the widespread availability of remote sensing data have driven the development of machine learning models for estimating global carbon storage. Current models often rely on dozens of predictor variables to estimate aboveground biomass density (AGBD), resulting in accurate but complex models that are ...
Diego Bengochea Paz+6 more
wiley +1 more source
Se registran nuevas localidades para Thraulodes marreroi en Venezuela y se analiza su potencial distribución geográfica en el Neotrópico mediante el modelo de nicho ecológico, utilizando el algoritmo de Máxima Entropía (MaxEnt), con base en los reportes ...
Belkys Pérez-García+4 more
doaj +1 more source
Knowledge about species abundance across broad spatial areas is crucial for unraveling ecological processes. Yet, abundance estimation often demands extensive sampling effort associated with logistical challenges. Using suitability values obtained from species distribution models (based on species' presence data) as a proxy for abundance has garnered ...
David Ferrer‐Ferrando+4 more
wiley +1 more source
The Marbled Murrelet ( Brachyramphus marmoratus ) is a tree-nesting seabird found along the Pacific coast of North America whose forest nesting habitat has dramatically declined over the last century.
Cameron F. Cosgrove+3 more
doaj +1 more source
In order to prevent future biological invasions, it is crucial to know non-native species distributions. We evaluated the potential global distribution of Azolla filiculoides, a free-floating macrophyte native to the Americas by using species ...
Argantonio Rodríguez-Merino+3 more
doaj +1 more source