Results 31 to 40 of about 1,530,540 (307)
A Bayesian model for gene family evolution
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
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Tree Exploration for Bayesian RL Exploration [PDF]
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 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
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Software Defect Prediction with Bayesian Approaches
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
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Bayesian learning of a tree substitution grammar [PDF]
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
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Bayesian classification and regression trees for predicting incidence of cryptosporidiosis. [PDF]
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
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Analyses and algorithms of personnel safety in mines using event tree and Bayesian network method [PDF]
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
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Implicit inequality constraints in a binary tree model [PDF]
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
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
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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
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