Results 71 to 80 of about 103,187 (313)
Visualisations for Bayesian Additive Regression Trees
Journal of Data Science, Statistics, and VisualisationTree-based regression and classification has become a standard tool in modern data science. Bayesian Additive Regression Trees (BART) has in particular gained wide popularity due its flexibility in dealing with interactions and non-linear effects.
Alan Inglis +2 more
openaire +2 more sources
BayesCAT: Bayesian Co-estimation of Alignment and Tree [PDF]
Biometrics, 2017 Summary Traditionally, phylogeny and sequence alignment are estimated separately: first estimate a multiple sequence alignment and then infer a phylogeny based on the sequence alignment estimated in the previous step. However, uncertainty in the alignment is ignored, resulting, possibly, in overstated certainty in phylogeny estimates. We
Shim, Heejung, Larget, Bret
openaire +4 more sources
R*: A robust MCMC convergence diagnostic with uncertainty using decision tree classifiers [PDF]
, 2020 Markov chain Monte Carlo (MCMC) has transformed Bayesian model inference over the past three decades: mainly because of this, Bayesian inference is now a workhorse of applied scientists. Under general conditions, MCMC sampling converges asymptotically to
Lambert, Benjamin, Vehtari, Aki
core +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
FEBS Open Bio, EarlyView.Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Penerapan Algortima Tree Augmented Naive Bayesian pada Penentuan Peubah Penting [PDF]
, 2011 Peningkatan kinerja produk sangat penting di era persaingan pasar bebas. Salah satu cara untuk mengoptimalkan peningkatan kinerja suatu produk, produsen harus mengetahui tingkat kepentingan peubah dari produknya.
Awalia, Pingkan
core
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
Frontiers in Physics, 2023 This study highlights the drawbacks of current quantum classifiers that limit their efficiency and data processing capabilities in big data environments.
Naihua Ji +5 more
doaj +1 more source
Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]
, 2015 Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Otero, Fernando E.B. +5 more
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krasserm/bayesian-machine-learning: v-0.3 [PDF]
, 2020 Notebooks about Bayesian methods for machine ...
DodoTheDeveloper, Martin Krasser
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Trajectories of Physical Function in Canadian Children With Juvenile Idiopathic Arthritis
Arthritis Care &Research, EarlyView.Objective We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham +81 more
wiley +1 more source