Results 111 to 120 of about 8,821,946 (173)

Unsupervised segmentation and clustering time series approach to Southern Africa rainfall regime changes

Geoscience Data Journal
Analysis of hydro‐climatological time series and spatiotemporal dynamics of meteorological variables has become critical in the context of climate change, especially in Southern African countries where rain‐fed agriculture is predominant.
Lovemore Chipindu, Walter Mupangwa, Isaiah Nyagumbo, Mainassara Zaman‐Allah   +3 more
doaj   +1 more source

Diagram recognition using hidden Markov models [PDF]

, 2003
User input interfaces are quickly become more natural and intuative, relying less and less on the traditional mouse and keyboard interface, and moving towards a pen based input system.
Wardhani, Aster W., Henry, David W.
core  

Detecting Turning Points with Many Predictors through Hidden Markov Models [PDF]

This paper explores the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series which offer reliable information to detect recessions in real time.
David Saint-Martin, Benoit Bellone
core  

Accommodating availability bias on line transect surveys using hidden Markov models. [PDF]

, 2009
Previously in the University eprints HAIRST pilot service at http://eprints.st-andrews.ac.uk/archive/00000458/Maximum likelihood methods are developed which accommodate intermittent animal availability of animals on line transect surveys.
Samara, Filipa I. P., Borchers, David L.
core  

Multichain Hidden Markov and semi-Markov Models: Formalization, inference, and applications

Hidden Markov Models (HMMs) and Hidden Semi-Markov Models (HSMMs) are widely used statistical models for studying dynamic processes that cannot be observed directly or governed by a hidden layer. In many applications, particularly those involving spatial
Plancade, Sandra, Franc, Alain, Peyrard, Nathalie, Bacave, Hanna, Sabbadin, Régis, Durand, Jean-Baptiste   +5 more
core  

Unidentifiability and false-positive inference in state-dependent diversification models. [PDF]

Nat Commun
Tarasov S, Uyeda J.
europepmc   +1 more source

Modeling Pipeline Driving Behaviors: A Hidden Markov Model Approach [PDF]

Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responsesin a stochastic manner.
Xi Zou, David Levinson
core  

A dynamic evaluation method for ethical awareness in metaverse-based educational environments using hybrid Bayesian sequential models. [PDF]

Sci Rep
Yang B, Zhang X, Li C, Wu Y.
europepmc   +1 more source

A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention. [PDF]

Med Decis Making
Akwiwu EU, Coupé VMH, Berkhof J, Klausch T.   +3 more
europepmc   +1 more source

Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. [PDF]

Hum Factors
Dheeraj Kashyap L, Wang Z, Chang Y, Zahabi M, Garcia A.   +4 more
europepmc   +1 more source