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The most distinctive feature of FNT is its flexible tree structures.
Flexible neural tree (FNT) is a special kind of artificial neural network with flexible tree structures.
PhyloExplorer also enables more complex and flexible tree restrictions by selecting relevant taxa through the corresponding checkboxes.
We used the Bayesian skyride model (18 ) as a flexible tree prior and a general time-reversible model with a discretized gamma distribution (general time-reversible + 4Γ) to account for among-site rate variation.
There should be a young, flexible tree nearby, and nothing stopping it from utilizing its full range of movement (minimum of 2m to be useful) when pulled back.
Similar(54)
The presented system builds on three contributions: a flexible tree-based policy model that allows delegation of policy definition, a job prioritization algorithm based on local enforcement of distributed fairshare policies, and a decentralized architecture for non-intrusive integration with existing scheduling systems.
Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved.
In this study, flexible neural tree (FNT) model is used for gene regulatory network reconstruction and time-series prediction from gene expression profiling.
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT.
An intelligent rule learning for ECA rules are studied in this paper and a method is presented by using a combination of multi flexible fuzzy tree (MFlexDT) algorithm and neural network.
Another valid approach in addition to the flexible decision tree would have been a discrete event simulation which was not considered due to lack of patient-level data or equations based on the patient-level data.
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