Results 141 to 150 of about 60,493 (305)

Classification Among Hidden Markov Models.

, 2019
An important task in AI is one of classifying an observation as belonging to one class among several (e.g. image classification). We revisit this problem in a verification context: given k partially observable systems modeled as Hidden Markov Models (also called labeled Markov chains), and an execution of one of them, can we eventually classify which ...
Akshay, S., Bazille, Hugo, Fabre, Eric, Genest, Blaise   +3 more
openaire   +4 more sources

The Realization Problem for Hidden Markov Models

Mathematics of Control, Signals, and Systems, 1999
Let \(X\) be a discrete-time finite-state Markov process and let \(Y=h(X,Z)\), where \(Z\) is some i.i.d. sequence, and where the output \(Y\) can take a finite number of values. This paper considers the realization question: given the probabilities of all finite-length output strings, under what circumstances and how can one construct an \(X\) as ...
openaire   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

Hidden Markov and Semi-Hidden Markov Models: an Application to Meteorological Data

openI dati meteorologici presentano una forte componente di variabilità e incertezza, rendendo complessa la loro analisi e la previsione. In questa tesi si indaga l'applicazione dei modelli Hidden Markov (HMM) e Semi-Hidden Markov (HSMM) all’analisi di ...
REMIGIO, FRANCESCA
core  

Modelling human control behaviour with a Markov-chain switched bank of control laws [PDF]

, 1998
A probabilistic model of human control behaviour is described. It assumes that human behaviour can be represented by switching among a number of relatively simple behaviours.
Murray-Smith, R.
core  

Output‐Feedback H∞$$ {H}_{\infty } $$ Detector‐Based Control of Continuous‐Time Markov Jump Lur'e Systems With Sector‐Bound Optimization

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the problem of dynamic output‐feedback H∞$$ {H}_{\infty } $$ detector‐based control for continuous‐time Markov Jump Lur'e Systems with uncertain transition rate matrices. In contrast to conventional approaches, the proposed synthesis conditions are derived using Finsler's lemma, introducing additional slack variables to ...
Lucas P. M. Silva, Cecilia F. Morais, Ricardo C. L. F. Oliveira   +2 more
wiley   +1 more source

Non‐Physical Barrier Design and Environmental Conditions Alter Routing and Survival of Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in the Sacramento‐San Joaquin River Delta

River Research and Applications, EarlyView.
ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin, Summer M. Burdick, Russell W. Perry   +2 more
wiley   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Data informed performance assessment and structural health monitoring for existing and historical concrete structures

Structural Concrete, EarlyView.
Abstract Our generation inherits this cultural heritage of historic material and historic reinforced concrete structures and thus bears a certain responsibility to preserve these historic buildings with the help of the new technologies of lifetime management, conservation concepts and the new digitalization as well as the emerging safety concepts of ...
A. Strauss
wiley   +1 more source

Theory and inference for a Markov switching GARCH model [PDF]

We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
Luc, BAUWENS, Jeroen, ROMBOUTS, Arie, PREMINGER   +2 more
core   +4 more sources