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Gibbs Sampling Subjectively Interesting Tiles
[chapter]
2020
Lecture Notes in Computer Science
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Specifically, we propose a new pattern sampling approach based on Gibbs sampling, where the probability of sampling a pattern is proportional to their subjective interestingness [6]-an interestingness ...
In this paper, we combine the best of both worlds for mining interesting tiles [8] from binary databases. ...
In this paper, we introduced an approach based on Gibbs sampling, which is capable of sampling from the set of tiles proportional to their subjective interestingness. ...
doi:10.1007/978-3-030-44584-3_7
fatcat:6djzaqymsbcbtbqlocobtd2gdi
Are Vortex Quasi-Crystals New Phases of Vortex Matter?
[article]
2006
arXiv
pre-print
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It is argued that vortex quasi-crystals are stabilized due to imposed quasi-periodic potentials in large samples or due to boundary and surface energy effects for samples of special shapes and sizes. ...
For finite size samples, it is proposed that a phase transition between a vortex crystal and a vortex quasi-crystal occurs as a function of magnetic field and temperature as the sample size is reduced. ...
The general subject of vortex physics in superconductors is quite interesting since there seems to be a large variety of possible equilibrium vortex phases in superconductors [1] . ...
arXiv:cond-mat/0607624v1
fatcat:kkp7lfs4mvbejoyqlpuq2xuvva
A Bayesian regression approach to assess uncertainty in pollutant wash-off modelling
2014
Science of the Total Environment
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sampling statistical approach. ...
It was also noted that the Bayesian/Gibbs sampling approach is superior compared to the most commonly adopted classical statistical and deterministic approaches commonly used in water quality modelling ...
In this paper, the use of both OLSR and WLSR in a Bayesian/Gibbs sampling framework is proposed. ...
doi:10.1016/j.scitotenv.2014.02.012
pmid:24561928
fatcat:zhvvpwwvqbhwfo7wgokfzgdycy
Vortex quasi-crystals in mesoscopic superconducting samples
[article]
2007
arXiv
pre-print
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For finite sized pentagonal samples, it is proposed that a phase transition between a vortex crystal and a vortex quasi-crystal occurs as a function of magnetic field and temperature as the sample size ...
Here, we propose a vortex quasi-crystal state which can be stabilized due to boundary and surface energy effects for samples of special shapes and sizes. ...
INTRODUCTION The general subject of vortex physics in superconductors is quite interesting since there seems to be a large variety of possible equilibrium vortex phases in superconductors 1 . ...
arXiv:cond-mat/0703421v1
fatcat:bt43wjpqkvdvbi4edcgl2btazu
Page 109 of American Architect and Architecture Vol. 23, Issue 653
[page]
1888
American Architect and Architecture
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“Clear, concise and full... . 4 Among the contribu- tions to educational literature for which those who are interested in the subject cannot be too thankful. ... ...
VALVES have attained, the market has
been subjected to BASE IMITATIONS. ...
Comprehensive viral oligonucleotide probe design using conserved protein regions
2007
Nucleic Acids Research
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Conflict of interest statement. None declared. ...
Gibbs free energy model of hybridization signal. The change in Gibbs free energy of probe-West Nile virus hybrids was computed. ...
Analysis of coverage by Gibbs free energy Because it is not feasible to test all probes with all known viruses, we tested probe validity using a Gibbs free energy model of hybridization. ...
doi:10.1093/nar/gkm1106
pmid:18079152
pmcid:PMC2248741
fatcat:xlieeiso7bdavhone2yuds44ba
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines
[article]
2022
arXiv
pre-print
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They used a technique called Gibbs Sampling with People [GSP; 35, see Fig. 2 ] that samples internal prior distributions by putting humans "in the loop" of a Gibbs sampler. ...
This network is then used to generate samples, using the exact same process as used to generate samples from human priors using Gibbs sampling. ...
The hyperparameter sweep was done by sampling from the space of hyperparameter using the Tree-Structured Parzen Estimator [48] . ...
arXiv:2205.11558v1
fatcat:wqa4h3ogabbhpn4y26gcfaqdxq
A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin
2017
IEEE Transactions on Image Processing
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Our novel strategy to model this structure combines a spatial Poisson process with shape priors and performs inference using Gibbs sampling. ...
Skin biologists and clinicians are interested in the location of the Ghanta et al. ...
When sampling for G, we used a hybrid Gibbs sampler, starting with a blocked Gibbs sampler and then transitioning to single site sampling. ...
doi:10.1109/tip.2016.2615291
pmid:27723590
pmcid:PMC5258843
fatcat:7v7ww6z65ngx5mlprtevtsmqme
Page 2 of American Society for Testing and Materials. Proceedings - American Society for Testing and Materials Vol. , Issue 7
[page]
1922
American Society for Testing and Materials. Proceedings - American Society for Testing and Materials
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All national organizations, both of producers and consumers, that have any interest in this subject have been consulted and many of them have appointed representatives on the committee. ...
Our Society has proposed one project, that of reducing the number of standard sizes of drain tile, a matter which is now under active consideration in Committee C-6 on Drain Tile. ...
A generalisation of the honeycomb dimer model to higher dimensions
[article]
2019
arXiv
pre-print
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2021 accepted arXiv:1905.13216v3 fatcat:sx3ustmxgncopm4tkqqaodkxueOther Versions
Each sample of the model is both a tiling and a height function. First, we derive a surprising identity for the covariance structure of the model. ...
results rely on the development of the boundary swap, which is a versatile technique for understanding the model; it is inspired by the double dimer model, works in any dimension, and may be of independent interest ...
The measure µ is called a Gibbs measure if for every finite R ⊂ X d , the distribution of f in µ is the same as the distribution of a sample f obtained by first sampling g from µ, then sampling f from ...
arXiv:1905.13216v2
fatcat:t6u4fbmgpvcslg5w4r66rprvti
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models
2015
Computer Vision and Image Understanding
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Since the tiles are independent except for occlusion we use a block-Gibbs like scheme in our sampler where we propose changes to one tile at a time. ...
Metropolis Hastings within Gibbs (MHWG). ...
The informed sampling approach (INF-BMHWG) is better than the best baseline (MHWG). This still is a very challenging problem since the parameters for occluded tiles are flat over a large region. ...
doi:10.1016/j.cviu.2015.03.002
fatcat:fzr7ufszarhdtk26ffaqwgfrbe
Nonparametric regression using Bayesian variable selection
1996
Journal of Econometrics
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A Bayesian approach is used to select the significant knots, the power transformation, and to identify oatliers using the Gibbs sampler to curry out the computation. ...
K, be the Gibbs iterates of (~',to) in the sampling period. ...
Before running tile Gibbs sampler the terms v'y, X'y, and X'X are computed. ...
doi:10.1016/0304-4076(95)01763-1
fatcat:dd3hofj2orh3jj3is6jrhvfav4
Mixed models for the analysis of replicated spatial point patterns
2004
Biostatistics
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The weights, w j are defined to be a/n j , where n j is the number of quadrature points in tile j and a is the area (Lebesgue measure) of the tile. ...
The pattern window, W , is divided into a k × k grid of tiles, with exactly one dummy point being placed within each tile, either in the center or at random. ...
doi:10.1093/biostatistics/kxh014
pmid:15475424
fatcat:xrhmqtu3r5fdjp5ets37v4el5a
PrAGMATiC: a Probabilistic and Generative Model of Areas Tiling the Cortex
[article]
2015
arXiv
pre-print
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This model assumes that the cortical map in each individual subject is a sample from a single underlying probability distribution. ...
PrAGMATiC, a probabilistic and generative model of areas tiling the cortex, is a hierarchical Bayesian generative model of cortical maps. ...
That is, we could use Gibbs sampling and simulated annealing to optimize the arrangement of the areas in the new subject so that the probability of the observed data is maximized, finding H * = argmax ...
arXiv:1504.03622v1
fatcat:nar5mylehrgxfjih6pnjkp37g4
Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model
2010
BMC Bioinformatics
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The Gibbs sampling algorithm [29] was implemented to sample from the target distribution {p(θ|D,M): θ ∈ Θ ⊆ R 3N+1 }. ...
For our Bayesian analysis of genomic copy number data, we implemented both the random walk Metropolis-Hastings (RWMH) and the Gibbs sampling algorithms and observed that in this application Gibbs sampling ...
doi:10.1186/1471-2105-11-539
pmid:21034510
pmcid:PMC2992546
fatcat:f2hslqd45nbvncklscl527vn64
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