Results 11 to 20 of about 2,955,171 (326)
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas [PDF]
, 2013 <br>This paper presents a finite mixture of multivariate betas as a new model-based clustering method tailored to applications where the feature space is constrained to the unit hypercube.
Dean, Nema, Nugent, Rebecca
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Granular Temperature and Segregation in Dense Sheared Particulate Mixtures
KONA Powder and Particle Journal, 2016 In gravity-driven flows of different-sized (same density) particles, it is well known that larger particles tend to segregate upward (toward the free surface), and the smaller particles downward in the direction of gravity.
Kimberly M. Hill, Yi Fan
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Global Heart, 2020 Background: Although increased age is associated with higher systolic blood pressure (SBP) in general, there may be variation across individuals in how SBP changes over time.
Haiqun Lin +11 more
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Energies, 2021 The present study deals with the numerical simulation of mixed convective heat transfer from an unconfined heated square cylinder using nanofluids (Al2O3-water) for Reynolds number (Re) 10–150, Richardson number (Ri) 0–1, and nanoparticles volume ...
Rajendra S. Rajpoot +2 more
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A compressible mixture model with phase transition [PDF]
, 2013 We introduce a new thermodynamically consistent diffuse interface model of Allen--Cahn/Navier--Stokes type for multi-component flows with phase transitions and chemical reactions.
Dreyer, Wolfgang +2 more
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Modeling Learner Heterogeneity: A Mixture Learning Model With Responses and Response Times
Frontiers in Psychology, 2018 The increased popularity of computer-based testing has enabled researchers to collect various types of process data, including test takers' reaction time to assessment items, also known as response times. In recent studies, the relationship between speed
Susu Zhang, Shiyu Wang
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Deep Gaussian Mixture Models [PDF]
, 2017 Deep learning is a hierarchical inference method formed by subsequent multiple layers of learning able to more efficiently describe complex relationships. In this work, Deep Gaussian Mixture Models are introduced and discussed.
McLachlan, Geoffrey J., Viroli, Cinzia
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Model‐based clustering reveals patterns in central place use of a marine top predator
Ecosphere, 2020 Satellite telemetry data are commonly used to quantify habitat selection, examine animal movements, and delineate home ranges. These data also contain valuable information concerning dens, nests, roosts, and other central places that are often associated
Brian M. Brost +2 more
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Improved Initialization of the EM Algorithm for Mixture Model Parameter Estimation
Mathematics, 2020 A commonly used tool for estimating the parameters of a mixture model is the Expectation−Maximization (EM) algorithm, which is an iterative procedure that can serve as a maximum-likelihood estimator.
Branislav Panić +2 more
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Energies, 2019 A combination of two passive heat transfer enhancement techniques using a microfin structure and nanofluids was investigated numerically. TiO2/water nanofluids flowing inside a square minichannel with a microfin structure (SMM) were observed as a ...
Budi Kristiawan +4 more
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