Sentences with phrase «decision tree model»

The Decision Tree Model shows the following predictor variables in infant's development: 1) the duration of an infant's hospitalization in ICU, 2) mother's employment 3) amount of physical contact with infant after childbirth and 4) father's level of involvement in parenting.

Based on a decision tree model illustrated with video clips of EFT sessions, we discuss the landmarks and interventions to take to get back on track.

Developing Open Source policies for leading technology companies, including decision tree models to determine risk / benefit analysis of incorporating Open Source into company products and, when incorporated, the most appropriate licensing regime

Not exact matches

Moving up the complexity scale, non-linear or machine learning models like Neural Networks, Support Vector Machines or Decision Trees can be used to build the investment signal.

In this research, we have modeled the relationships between leaf nutrient concentrations and the yields of avocado trees with the aim of developing decision support tools for improved fertilization and nutrient management to increase avocado fruit yields.

She and her colleagues recently published the decision - tree model, developed in Ontario, which combines science, economics, ethics, and public engagement in the decision - making process.

-- 7) Forest models for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptmodels for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptModels that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptation.

A machine - learning methodology (decision - tree induction) allows to induce generalized pharmacogenomic translation models from known haplotype — tables that are able to infer the metabolizer status of individuals from their genotype profiles.

Complex decision - tree - based models which enable learners to explore multiple process outcomes based on their decisions

Some possibility or probability of occurrence of such an event would then trigger a decision tree based upon modeling and analysis that occurred well in advance of the actual event.

LegalRnD students are familiar with his writings on data - driven law practice, such as using decision trees, comparing «intuitive» and «quantitative» models for decision making and managing legal risk.

Listen to our podcast for a look at decision support technologies that can help your claims organizations more effectively manage litigation: predictive modeling and decision tree analysis templates.

Advanced capabilities include embedded tools, such as calculators, decision trees, scenario modeling, and document assembly permitting users to apply concepts to matters within the research environment.

I have experience as a statistical modeler and analyst developing risk models using multivariate techniques, marketing segmentation using clustering, process analysis using decision tree machine learning techniques, and time series analysis for...

Ben - Porath, D.D., Koons, C.R. Telephone coaching in dialectical behavior therapy: A decision - tree model for managing inter-session contact with clients.