(Q56763374)

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Trait-based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools

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scholarly article

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Trait-based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools (English)

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invasive species

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machine learning

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based on heuristic

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biological invasion

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Sašo Džeroski

3

object named as

Sašo Džeroski

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Reuben P. Keller

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object named as

Reuben P. Keller

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author name string

Dragi Kocev

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language of work or name

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based on heuristic

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publication date

24 February 2011

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number of pages

11

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Diversity and Distributions

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17

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3

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451-461

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maintained by WikiProject

WikiProject Invasion Biology

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Bagging predictors

1 reference

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A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings

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Evolution of genome size in pines (Pinus) and its life-history correlates: supertree analyses

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Risk assessment for invasive species produces net bioeconomic benefits

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Fecundity as a basis for risk assessment of nonindigenous freshwater molluscs

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Progress in invasion biology: predicting invaders

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Ecological predictions and risk assessment for alien fishes in North America

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Biological invasions: recommendations for U.S. policy and management

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Predicting Invasions of Woody Plants Introduced into North America. Prediccion de Invasiones de Plantas Lenosas Introducidas a Norteamerica

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Are there any consistent predictors of invasion success?

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Invasive species profiling? Exploring the characteristics of non-native fishes across invasion stages in California

1 reference

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Novel methods improve prediction of species’ distributions from occurrence data

1 reference

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Identifiers

10.1111/J.1472-4642.2011.00748.X

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