Results 101 to 110 of about 6,719 (190)

A Reinforcement Learning Algorithm Using Multi-Layer Artificial Neural Networks for Semi-Markov Decision Problems

open access: yesSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2013
Real life problems are generally large-scale and difficult to model. Therefore, these problems can't be mostly solved by classical optimisation methods. This paper presents a reinforcement learning algorithm using a multi-layer artificial neural network ...
Mustafa Ahmet Beyazıt Ocaktan   +1 more
doaj   +1 more source

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

open access: yesGeoscience 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   +3 more
doaj   +1 more source

A hidden semi-Markov model for estimating burst suppression EEG. [PDF]

open access: yesAnnu Int Conf IEEE Eng Med Biol Soc, 2019
Chakravarty S   +4 more
europepmc   +1 more source

Automatic Harmonization Using a Hidden Semi-Markov Model

open access: yesProceedings 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   +1 more source

Hybrid Parallel Model of Semi-Blind Joint Timing-Offset and Channel Estimation for AF-TWRNs

open access: yesIEEE Access
Timing offset and channel estimation plays an important role in the performance of amplify-and-forward two-way relay networks. The state-of-the art approach models the system as a Hidden Markov Model (HMM) and performs semi-blind estimation using ...
Ali A. El-Moursy   +5 more
doaj   +1 more source

Infinite hidden Markov models can dissect the complexities of learning. [PDF]

open access: yesNat Neurosci
Bruijns SA   +12 more
europepmc   +1 more source

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