Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Effect of variable selection strategy on the predictive models for adverse pregnancy outcomes of pre-eclampsia : A retrospective study 

  Zheng, Dongying; Hao, Xinyu; Khan, Muhanmmad; Kang, Fuli; Li, Fan; Hämäläinen, Timo; Wang, Lixia (Scholar Media Publishing Company, 2024)

  Objectives: The improvement of prediction for adverse pregnancy outcomes is quite essential to the women suffering from pre-eclampsia, while the collection of predictive indicators is the prerequisite. The traditional ...

• Value of information in multiple criteria decision making : an application to forest conservation 

  Eyvindson, Kyle; Hakanen, Jussi; Mönkkönen, Mikko; Juutinen, Artti; Karvanen, Juha (Springer Berlin Heidelberg, 2019)

  Developing environmental conservation plans involves assessing trade-offs between the benefits and costs of conservation. The benefits of conservation can be established with ecological inventories or estimated based on ...

• Intelligent solutions for real-life data-driven applications 

  Ivannikova, Elena (University of Jyväskylä, 2017)

  The subject of this thesis belongs to the topic of machine learning or, specifically, to the development of advanced methods for regression analysis, clustering, and anomaly detection. Industry is constantly seeking ...

• The past and the present in decision-making : the use of conspecific and heterospecific cues in nest site selection 

  Kivelä, Sami M.; Seppänen, Janne-Tuomas; Ovaskainen, Otso; Doligez, Blandine; Gustafsson, Lars; Mönkkönen, Mikko; Forsman, Jukka T. (Ecological Society of America, 2014)

  Nest site selection significantly affects fitness, so adaptations for assessment of the qualities of available sites are expected. The assessment may be based on personal or socialinformation, the latter referring to the ...

• Subsample Selection Methods in the Lake Management 

  Koski, Vilja; Kärkkäinen, Salme; Karvanen, Juha (Springer, 2024)

  The problem of subsample selection among an enormous number of combinations arises when some covariates are available for all units, but the response can be measured only for a subset of them. When estimating a Bayesian ...