Results 31 to 40 of about 1,530,540 (307)

A Bayesian model for gene family evolution

open access: yesBMC Bioinformatics, 2011
Background A birth and death process is frequently used for modeling the size of a gene family that may vary along the branches of a phylogenetic tree. Under the birth and death model, maximum likelihood methods have been developed to estimate the birth ...
Liu Liang   +3 more
doaj   +1 more source

Tree Exploration for Bayesian RL Exploration [PDF]

open access: yes2008 International Conference on Computational Intelligence for Modelling Control & Automation, 2008
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, where optimality improves with increased computational time. This is because the resulting planning task takes the form of a dynamic programming problem on a belief tree with ...
openaire   +6 more sources

The enigmatic monotypic crab plover Dromas ardeola is closely related to pratincoles and coursers (Aves, Charadriiformes, Glareolidae)

open access: yesGenetics and Molecular Biology, 2010
The phylogenetic placement of the monotypic crab plover Dromas ardeola (Aves, Charadriiformes) remains controversial. Phylogenetic analysis of anatomical and behavioral traits using phenetic and cladistic methods of tree inference have resulted in ...
Sergio L. Pereira, Allan J. Baker
doaj   +1 more source

Software Defect Prediction with Bayesian Approaches

open access: yesMathematics, 2023
Software defect prediction is an important area in software engineering because it helps developers identify and fix problems before they become costly and hard-to-fix bugs.
María José Hernández-Molinos   +4 more
doaj   +1 more source

Bayesian learning of a tree substitution grammar [PDF]

open access: yesProceedings of the ACL-IJCNLP 2009 Conference Short Papers on - ACL-IJCNLP '09, 2009
Tree substitution grammars (TSGs) offer many advantages over context-free grammars (CFGs), but are hard to learn. Past approaches have resorted to heuristics. In this paper, we learn a TSG using Gibbs sampling with a nonparametric prior to control subtree size.
Matt Post, Daniel Gildea
openaire   +2 more sources

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis. [PDF]

open access: yesPLoS ONE, 2011
BackgroundClassification and regression tree (CART) models are tree-based exploratory data analysis methods which have been shown to be very useful in identifying and estimating complex hierarchical relationships in ecological and medical contexts.
Wenbiao Hu   +3 more
doaj   +1 more source

Analyses and algorithms of personnel safety in mines using event tree and Bayesian network method [PDF]

open access: yesE3S Web of Conferences
Determination of the hazard index in ensuring the safety of personnel in underground mines requires a comprehensive approach. Different methods can be applied depending on the specifics and conditions of work.
Kalandarov Ilyos   +2 more
doaj   +1 more source

Implicit inequality constraints in a binary tree model [PDF]

open access: yes, 2011
In this paper we investigate the geometry of a discrete Bayesian network whose graph is a tree all of whose variables are binary and the only observed variables are those labeling its leaves.
Zwiernik, Piotr   +3 more
core   +1 more source

Effects of visualizing statistical information – An empirical study on tree diagrams and 2 x 2 tables

open access: yesFrontiers in Psychology, 2015
In their research articles, scholars often use 2 x 2 tables or tree diagrams including natural frequencies in order to illustrate Bayesian reasoning situations to their peers. Interestingly, the effect of these visualizations on participants’ performance
Karin eBinder   +2 more
doaj   +1 more source

A Bayesian network model to disentangle the effects of stand and climate factors on tree mortality of Chinese fir plantations

open access: yesFrontiers in Forests and Global Change, 2023
Tree mortality is a complex process that not only be affected by the various factors, such as stand and climate factors, but also the various long-term effects of the factors to each other.
Yihang Jiang   +9 more
doaj   +1 more source

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