Machine learning methods without tears: a primer for ecologists.
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Factors influencing the survival of outmigrating juvenile salmonids through multiple dam passages: an individual-based approach.Varietal Dynamics and Yam Agro-Diversity Demonstrate Complex Trajectories Intersecting Farmers' Strategies, Networks, and Disease ExperienceThe role of temporal abundance structure and habitat preferences in the survival of conodonts during the mid-early Silurian Ireviken mass extinction eventInferring landscape-scale land-use impacts on rivers using data from mesocosm experiments and artificial neural networksProjected climate-driven faunal movement routes.Predicting the conservation status of data-deficient species.Warning times for species extinctions due to climate change.Random Forests for Global and Regional Crop Yield PredictionsMultiple ecological pathways to extinction in mammalsLocal impact of temperature and precipitation on West Nile virus infection in Culex species mosquitoes in northeast Illinois, USA.An entomologist guide to demystify pseudoreplication: data analysis of field studies with design constraints.Weather variability affects abundance of larval Culex (Diptera: Culicidae) in storm water catch basins in suburban Chicago.Using ecological niche models to predict the abundance and impact of invasive species: application to the common carp.A primer for data assimilation with ecological models using Markov Chain Monte Carlo (MCMC).Host centrality in food web networks determines parasite diversity.Mapping migratory bird prevalence using remote sensing data fusionDrivers and hotspots of extinction risk in marine mammalsPredicting the current and future potential distributions of lymphatic filariasis in Africa using maximum entropy ecological niche modellingStrong neutral spatial effects shape tree species distributions across life stages at multiple scalesHost life history strategy, species diversity, and habitat influence Trypanosoma cruzi vector infection in Changing landscapes.Applying various algorithms for species distribution modelling.Hidden Markov models: the best models for forager movements?Predictors of leafhopper abundance and richness in a coffee agroecosystem in Chiapas, Mexico.Building the foundation for international conservation planning for breeding ducks across the U.S. and Canadian borderPanmictic and Clonal Evolution on a Single Patchy Resource Produces Polymorphic Foraging Guilds.Local and Landscape Correlates of Spider Activity Density and Species Richness in Urban Gardens.Are we overestimating the niche? Removing marginal localities helps ecological niche models detect environmental barriers.Terrestrial vegetation and aquatic chemistry influence larval mosquito abundance in catch basins, Chicago, USA.Tree-Based Models for Predicting Mortality in Gram-Negative Bacteremia: Avoid Putting the CART before the Horse.Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory FlywaysModeling the role of the close-range effect and environmental variables in the occurrence and spread of Phragmites australis in four sites on the Finnish coast of the Gulf of Finland and the Archipelago Sea.Demystifying computer science for molecular ecologists.Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest.Domestic animals and epidemiology of visceral leishmaniasis, Nepal.A risk prediction model for post-stroke depression in Chinese stroke survivors based on clinical and socio-psychological features.Computational Population Biology: Linking the inner and outer worlds of organisms.Geography of current and future global mammal extinction risk.Beyond Zar: the use and abuse of classification statistics for otolith chemistry.GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.Hybridization at an ecotone: ecological and genetic barriers between three Iberian vipers.
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Machine learning methods without tears: a primer for ecologists.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on June 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Machine learning methods without tears: a primer for ecologists.
@en
Machine learning methods without tears: a primer for ecologists.
@nl
type
label
Machine learning methods without tears: a primer for ecologists.
@en
Machine learning methods without tears: a primer for ecologists.
@nl
prefLabel
Machine learning methods without tears: a primer for ecologists.
@en
Machine learning methods without tears: a primer for ecologists.
@nl
P356
P1476
Machine learning methods without tears: a primer for ecologists.
@en
P2093
Joshua J Lawler
P304
P356
10.1086/587826
P577
2008-06-01T00:00:00Z