Results 111 to 120 of about 8,159 (239)
Behavioural Modelling of Career Progression in the European Commission [PDF]
, 2012 Though manpower planning models have been part of OR for many years, and simulation has always been acknowledged as a potential approach, there are few reported applications of its use.
Onggo, Stephan +3 more
core +1 more source
hmmTMB: Hidden Markov Models with Flexible Covariate Effects in R
Journal of Statistical SoftwareHidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behavior from human and animal tracking data, disease status from medical data, and ...
Théo Michelot
doaj +1 more source
Automatic Harmonization Using a Hidden Semi-Markov Model
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013 Hidden Markov Models have been used frequently in the audio domain to identify underlying musical structure. Much less work has been done in the purely symbolic realm. Recently, a substantial amount of expert-labelled symbolic musical data has been injected into the research community.
openaire +2 more sources
Heavy Tailed Hidden Semi-Markov Models
, 1997 Heavy Tailed Hidden Semi-Markov ...
Resnick, S., Subramanian, A.
core
Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery [PDF]
, 2008 This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linear combinations of pure component spectra contaminated by an additive ...
Chang, Chein-I +5 more
core +1 more source
WIREs Energy and Environment, Volume 15, Issue 2, June 2026.Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant +11 more
wiley +1 more source
Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Søren Højsgaard, Jared O'Connell
core
International Journal of Distributed Sensor Networks, 2013 Most of analyses for the IEEE 802.15.4 Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme for multi-hop wireless sensor networks (WSNs) focus on how to avoid the impacts of hidden terminal problems rather than how to derive the exact
Jianping Zhu, Chunfeng Lv, Zhengsu Tao
doaj +1 more source
Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound. [PDF]
Physiol Meas, 2020 Katebi N +4 more
europepmc +1 more source
Fresher Streams After a Prolonged Drought in Victoria, Australia
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Salinity in waterways changes throughout the year due to interactions between more saline groundwater and fresher surface water as runoff changes seasonally and with rainfall events. Droughts have recently been shown to cause persistent shifts in rainfall runoff partitioning, and here we examine whether stream salinity also exhibits such ...
Thomas G. Westfall +3 more
wiley +1 more source