Results 121 to 130 of about 66,463 (260)
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
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models
, 2018 Generalizing manipulation skills to new situations requires extracting invariant patterns from demonstrations. For example, the robot needs to understand the demonstrations at a higher level while being invariant to the appearance of the objects ...
Calinon, Sylvain +7 more
core
ssRNA bacteriophage metagenomes reveal a diverse set of novel protein families
Protein Science, Volume 35, Issue 5, May 2026.Abstract The bacteriophages with single‐stranded RNA (ssRNA) genomes (class Leviviricetes) are among the simplest known viruses that encode only three core proteins: a receptor‐binding protein, a capsid protein, and an RNA‐dependent RNA polymerase. The number of isolated ssRNA phages has remained very low, but the accumulating RNA metagenome data have ...
Jānis Rūmnieks +3 more
wiley +1 more source
Opportunistic Channel Access Algorithm Based on Hidden Semi Markov Model for Cognitive Radio Networks [PDF]
, 2014 Bhupal Kumar, Dr.S.K. Srivatsa
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Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
IEEJ Transactions on Electrical and Electronic Engineering, Volume 21, Issue 5, Page 693-703, May 2026.In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito +5 more
wiley +1 more source
Online Health Management for Complex Nonlinear Systems Based on Hidden Semi‐Markov Model Using Sequential Monte Carlo Methods [PDF]
, 2012 Qinming Liu, Ming Dong
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Hidden Markov Models for Bounded, Inflated Time Series: Forecasting Icing on Wind Turbine Blades
Wind Energy, Volume 29, Issue 5, May 2026.ABSTRACT Time series analysis of icing‐induced power loss in wind turbines pose several challenges: the response is bounded, serially dependent, intermittently missing, highly dispersed, and often inflated at a single value. We address these challenges with discrete‐time hidden Markov models for a discrete‐continuous process assumed to follow a mixture
Albert S. Bisgaard +3 more
wiley +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
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Molecular Ecology Resources, Volume 26, Issue 4, May 2026.ABSTRACT Spiders are renowned for their ecological versatility and silk‐based innovations in materials science, yet marine environments remain virtually uncolonized by this predominantly terrestrial lineage. A striking exception is the obligate intertidal spider genus Desis, whose members have evolved extraordinary physiological and behavioural ...
Fan Li +11 more
wiley +1 more source