Results 81 to 90 of about 63,611 (263)
Hidden Markov model approach to skill learning and its application to telerobotics [PDF]
, 1994 Jie Yang, Yangsheng Xu, C.S. Chen
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ThiF‐Like Enzyme Chemistry in Primary and Secondary Metabolism
ChemBioChem, EarlyView.ThiF‐like enzymes are a widespread protein family found in disparate biosynthetic pathways. They are unified by their use of an NTP to modify a carboxylate, generating an activated species prone to nucleophilic addition. This common intermediate is then targeted by diverse nucleophiles, including persulfide or amino acid side chains, to yield a variety
Keelie S. Butler +2 more
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Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
Genetics and Molecular Biology, 2003 Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence.
Silva Cibele Q. da
doaj
Use of hidden Markov models for partial discharge pattern classification [PDF]
, 1993 L. Satish, Bharathi Gururaj
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Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
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meta-MEME: Motif-based hidden Markov models of protein families [PDF]
, 1997 William Noble Grundy +3 more
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A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Canadian Journal of Statistics, EarlyView.Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
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Fibronectin type III domains in yeast detected by a hidden Markov model [PDF]
, 1996 Alex Bateman, Cyrus Chothia
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Convergence properties of dynamic mode decomposition for analytic interval maps
Communications on Pure and Applied Mathematics, EarlyView.Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji +3 more
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Leakage risk assessment system for salt cavern hydrogen storage
Deep Underground Science and Engineering, EarlyView.Establishment of a leakage risk evaluation system for salt cavern hydrogen storage reservoirs using the entropy weight method plus two‐dimensional cloud modeling approach. Abstract Salt cavern hydrogen storage (SCHS) is an important component of large‐scale underground hydrogen storage, with advantages such as large hydrogen storage capacity and ...
Weizheng Bai +4 more
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