Results 81 to 90 of about 7,075 (185)
Detecting an Ocean Inside Callisto With Geodetic Measurements From Europa Clipper and Juice
Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.Abstract Determining whether Callisto hosts a subsurface ocean, and the implications for material and energy transport through its hydrosphere, is of high interest to NASA's Europa Clipper and ESA's Juice missions. A recent reanalysis of Galileo magnetometer data strengthens the ocean hypothesis, but definitive confirmation awaits new measurements.
Flavio Petricca +2 more
wiley +1 more source
Inference on state occupancy in covariate‐driven hidden Markov models
Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2436-2448, August 2026.Abstract Hidden Markov models (HMMs) are natural and popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models make it possible to infer how the animal's decision‐making process interacts with internal and external drivers by relating the probabilities of switching between distinct ...
Maya Natascha Vienken +2 more
wiley +1 more source
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
International Statistical Review, Volume 94, Issue 2, Page 382-411, August 2026.Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Properties of the Statistical Complexity Functional and Partially Deterministic HMMs
Entropy, 2009 Statistical complexity is a measure of complexity of discrete-time stationary stochastic processes, which has many applications. We investigate its more abstract properties as a non-linear function of the space of processes and show its close relation to
Wolfgang Löhr
doaj +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
Journal of Integrative Plant Biology, Volume 68, Issue 8, Page 2340-2352, August 2026.This review synthesizes applications of AI and robotics for germplasm characterization and breeding, proposing the Breeding 5.0 framework with its “Breeding Flywheel”. By decoding germplasm's multidimensional architecture, AI drives data‐empowered automation cycles to accelerate germplasm innovation, redefining solutions for global food security ...
Jiayi Fu +4 more
wiley +1 more source
hsmm — An R package for analyzing hidden semi-Markov models
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bulla, Jan, Bulla, Ingo, Nenadic, Oleg
openaire +3 more sources
Hidden Markov and Hidden Semi-Markov models on Financial Timeseries
, 2020 Masteroppgave i statistikk STAT399 MAMN ...
openaire +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
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