Results 131 to 140 of about 511,753 (356)

Profile hidden Markov models

Bioinform., 1998
S. Eddy
semanticscholar   +1 more source

Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity

Naval Research Logistics (NRL), EarlyView.
ABSTRACT We investigate the assortment planning decisions of a retailer that operates an online sales channel and a brick‐and‐mortar store. We explicitly investigate the impact of product returns, which is a norm in modern retailing and a factor for lost profit.
Amin Aslani, Osman Alp
wiley   +1 more source

Modelling persistence in annual Australia point rainfall [PDF]

Hydrology and Earth System Sciences, 2003
Annual rainfall time series for Sydney from 1859 to 1999 is analysed. Clear evidence of nonstationarity is presented, but substantial evidence for persistence or hidden states is more elusive. A test of the hypothesis that a hidden state Markov model
J. P. Whiting, M. F. Lambert, M. F. Lambert, A. V. Metcalfe   +3 more
doaj  

Addition of Phentermine‐Topiramate to a Digitally Enhanced Lifestyle Intervention: A Double‐Blind Randomized Clinical Trial

Obesity, EarlyView.
ABSTRACT Objective This study compared the effects of phentermine‐topiramate‐ER (mid‐dose 7.5/46 mg) versus placebo on weight loss and cardiovascular disease (CVD) risk outcomes when used as an adjunct to a digitally enhanced lifestyle intervention (DELI).
Alejandro Campos, Wissam Ghusn, Lizeth Cifuentes, Daniel Sacoto, Sima Fansa, Diego Anazco, Maria L. Ricardo‐Silgado, Anas Hashem, Megan Schaefer, William S. Harmsen, Heather J. Gunn, Craig Peterson, Deborah Larsen, Santosh T. Varghese, Maria D. Hurtado, Andres Acosta   +15 more
wiley   +1 more source

Hidden Abstract Stack Markov Models with Learning Process

Mathematics
We present hidden abstract stack Markov models (HASMMs) with their learning process. The HASMMs we offer carry the more expressive nature of probabilistic context-free grammars (PCFGs) while allowing faster parameter fitting of hidden Markov models (HMMs)
Mete Özbaltan
doaj   +1 more source

Comparison of Sleep State Classification Performance Using Random Forests, Hidden Markov Models, and Non-homogeneous Hidden Markov Models

, 2020
Mathieu Chalifour
openalex   +1 more source

GraphReco: Probabilistic Structure Recognition for Chemical Molecules

ChemistryOpen, EarlyView.
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang, Yuncheng Yu, Jyh‐Charn Liu   +2 more
wiley   +1 more source

Sex matters: European urban birds flee approaching women sooner than approaching men

People and Nature, EarlyView.
Abstract Flight initiation distance (FID) is a metric often used to study an individual's perceptions of risk when facing a predatory threat. Longer FID indicates lower risk‐taking, while shorter FID identifies bolder individuals who tolerate greater risk.
Federico Morelli, Yanina Benedetti, Peter Mikula, Daniel T. Blumstein, Mario Díaz, Alicia Page, Piotr Tryjanowski, Marta K. Nowak, Eva Vincze, Gábor L. Lövei   +9 more
wiley   +1 more source

Predicting Pharmacological Treatment Response in Migraine Using AI/ML: A Scoping Review of the Evidence and Future Directions

Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, EarlyView.
ABSTRACT The treatment of migraine is hampered by inter‐individual variability, leading to an inefficient “trial and error” approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outcomes.
Martina Giacon, Salvatore Terrazzino
wiley   +1 more source

Consistent estimation of the filtering and marginal smoothing\n distributions in nonparametric hidden Markov models [PDF]

, 2015
Yohann de Castro, Élisabeth Gassiat, Sylvain Le Corff   +2 more
openalex   +1 more source