Results 111 to 120 of about 14,251,445 (242)
Modelling human control behaviour with a Markov-chain switched bank of control laws [PDF]
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 +1 more source
Improving the performance of Hierarchical Hidden Markov Models on Information Extraction tasks [PDF]
This thesis presents novel methods for creating and improving hierarchical hidden Markov models. The work centers around transforming a traditional tree structured hierarchical hidden Markov model (HHMM) into an equivalent model that reuses repeated sub-
Chou, Lin-Yi
core
Hidden Markov random field and FRAME modelling for TCA-image analysis [PDF]
Tooth Cementum Annulation (TCA) is an age estimation method carried out on thin cross sections of the root of human teeth. Age is computed by adding the tooth eruption age to the count of annual incremental lines that are called tooth rings and appear in
Katy Streso, Francesco Lagona
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Adaptive hidden Markov model estimation and applications [PDF]
Initially introduced in the late 1960's and early 1970's, hidden Markov models (HMMs) have become increasingly popular in the last decade. The major reason for the increasing popularity of HMMs has been the richness of the model class and the power of ...
Ford, Jason
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Alternative seed trait strategies are linked to a trade‐off between spatial and temporal dispersal
Read the free Plain Language Summary for this article on the Journal blog. Abstract Seed dispersal allows plants to seek favourable conditions or spread the risk of unfavourable conditions through space and time. While theory predicts a trade‐off between spatial and temporal dispersal, empirical tests have been stymied by the difficulty of measuring ...
Marina L. LaForgia +5 more
wiley +1 more source
Detecting Turning Points with Many Predictors through Hidden Markov Models [PDF]
This paper explores the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series which offer reliable information to detect recessions in real time.
David Saint-Martin, Benoit Bellone
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Using an integrative taxonomic framework that combines COI DNA barcodes, geometric morphometrics and phylogeography, we revise the assassin bug genus Tapirocoris and recover seven well‐supported species, including four newly described cryptic species.
Ping Zhao +8 more
wiley +1 more source
Bayesian nonparametric hidden Markov models with application to the analysis of copy-number-variation in mammalian genomes [PDF]
We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models.
Yau, C. +3 more
core
Male weaponry evolution is often linked to male–male competition, but its relationship with breeding site type remains unclear. Using Leptodactylinae frogs, we found a macroevolutionary correlation between breeding site type and weapon evolution. Also, gains and losses of weapons occurred more frequently in exposed‐breeding sites, an unexpected finding.
Erika M. Santana +3 more
wiley +1 more source
Artificially intelligent accompaniment using Hidden Markov Models to model musical structure [PDF]
Background in Music Performance and Accompaniment. Musical accompanists may not always be available during practice, or the available accompanist may not have the technical ability necessary.
Alan Smaill (16064372) +3 more
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