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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
2 years ago by @becker
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bayesian
linear
regression
background
knowledge
integration
bayes
bayesianlinearregressionbackgroundknowledgeintegrationbayes
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1Bayes Rules! An Introduction to Applied Bayesian Modeling
https://www.bayesrulesbook.com/
2 years ago by @bshanks
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bayes
probability
stats
textbook
bayesprobabilitystatstextbook
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1GitHub - huawei-noah/HEBO: Bayesian optimisation library developped by Huawei Noah's Ark Library
https://github.com/huawei-noah/HEBO
3 years ago by @becker
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bayes
bayesian
optimization
huawei
hebo
bayesbayesianoptimizationhuaweihebo
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1I maintain that it isn't just hard, it is computationally impossible. We should... | Hacker News
https://news.ycombinator.com/item?id=28198410
3 years ago by @bshanks
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bayes
npcomplete
nphard
rational
bayesnpcompletenphardrational
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1Bayesian_Workflow.pdf
https://dpsimpson.github.io/pages/talks/Bayesian_Workflow.pdf
4 years ago by @becker
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gelman
workflow
bayes
bayesian
gelmanworkflowbayesbayesian
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1Laplace's Demon: A Seminar Series about Bayesian Machine Learning at Scale - Criteo AI Lab
https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/
4 years ago by @becker
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laplace
demon
webinar
bayes
bayesian
laplacedemonwebinarbayesbayesian
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1(7) David Robinson auf Twitter: "Let's do this ONE LIKE = ONE INSULT OF A DISTRIBUTION" / Twitter
https://twitter.com/drob/status/1286042301727416320
4 years ago by @becker
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distribution
twitter
insult
insults
bayes
bayesian
humor
fun
distributiontwitterinsultinsultsbayesbayesianhumorfun
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1Bayesian regression predictions - Tutorials - Pyro Discussion Forum
https://forum.pyro.ai/t/bayesian-regression-predictions/1115/8
5 years ago by @becker
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bayes
pyro
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bayespyrobayesianregressionsampleprediction
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1Remove dependency on TracePosterior and deprecate utilities in AbstractInfer · Issue #1930 · pyro-ppl/pyro
https://github.com/pyro-ppl/pyro/issues/1930
5 years ago by @becker
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bayes
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1Financial forecasting with probabilistic programming and Pyro
https://medium.com/@alexrachnog/financial-forecasting-with-probabilistic-programming-and-pyro-db68ab1a1dba
5 years ago by @becker
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bayes
pyro
bayesian
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bayespyrobayesianregressionsampleprediction
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1BDA course : Panopto
https://aalto.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx#folderID=%22f0ec3a25-9e23-4935-873b-a9f401646812%22
5 years ago by @bshanks
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1Regression and Other Stories: Index
https://avehtari.github.io/ROS-Examples/
5 years ago by @bshanks
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1rmcelreath/statrethinking_winter2019: Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
https://github.com/rmcelreath/statrethinking_winter2019
5 years ago by @bshanks
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2Statistical Rethinking | Richard McElreath
https://xcelab.net/rm/statistical-rethinking/
5 years ago by @bshanks
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1book.dvi - BDA3.pdf
https://users.aalto.fi/~ave/BDA3.pdf
5 years ago by @bshanks
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bayes
bayesian
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bayesbayesianstats
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1What is amortized variational inference? - Quora
https://www.quora.com/What-is-amortized-variational-inference#:~:text=Amortizing%20Posterior%20Inference,of%20the%20approximate%20posterior%20distribution.
5 years ago by @becker
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variational
inference
amortized
bayes
model
modeling
neural
network
vi
elbo
variationalinferenceamortizedbayesmodelmodelingneuralnetworkvielbo
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1https://scholar.googleusercontent.com/scholar.bib?q=info:vegxY8zEn-EJ:scholar.google.com/&output=citation&scisdr=CgUqPzX2ELPhtbXua4o:AAGBfm0AAAAAXlbrc4r8g9aX1vJ_7ANfvGsZjz2luRyR&scisig=AAGBfm0AAAAAXlbrc2pK3JcRojAQtKHudSF69nVueJ6A&scisf=4&ct=citation&cd=0&hl=en
https://scholar.googleusercontent.com/scholar.bib?q=info:vegxY8zEn-EJ:scholar.google.com/&output=citation&scisdr=CgUqPzX2ELPhtbXua4o:AAGBfm0AAAAAXlbrc4r8g9aX1vJ_7ANfvGsZjz2luRyR&scisig=AAGBfm0AAAAAXlbrc2pK3JcRojAQtKHudSF69nVueJ6A&scisf=4&ct=citation&cd=0&hl=en
5 years ago by @becker
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vae
aligned
deep
learning
auto
encoder
autoencoder
neural
network
bayes
bayesian
vaealigneddeeplearningautoencoderautoencoderneuralnetworkbayesbayesian
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1Hyperspherical VAE | Nicola De Cao
https://nicola-decao.github.io/s-vae.html
5 years ago by @becker
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vae
variational
autoencoder
auto
encoder
generative
model
afcs
bayes
bayesian
vaevariationalautoencoderautoencodergenerativemodelafcsbayesbayesian
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2thinkbayes.pdf
http://www.greenteapress.com/thinkbayes/thinkbayes.pdf
5 years ago by @bshanks
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bayes
stats
toread
bayesstatstoread
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1The German Tank Problem | Hacker News
https://news.ycombinator.com/item?id=20318184
5 years ago by @bshanks
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bayes
german
pymc3
stats
tank
bayesgermanpymc3statstank
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1Why you shouModified Sand Cat Swarm Optimization (MSCSO) Based Feature Selection for Classification of Diseases in Tomato Leavesld dress for success
C. Negi. IJCSEIT, 14 (5): 19 (October 2024)
7 days ago by @ijcseit
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(NB)
Bayes
Naïve
(NB)BayesNaïve
(0)
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1Submit your research artical!!!
S. El-Badie. AMS, 9 (https://doi.org/10.5121/ams.2022.9402): 14 (December 2022)https://doi.org/10.5121/ams.2022.9402.
3 months ago by @abizanmiyar28
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Bayes
Gamma
Naïve
BayesGammaNaïve
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1DoA Estimation in Automotive MIMO Radar With Sparse Array via Fast Variational Bayesian Method
A. Jauch, F. Meinl, and H. Blume. 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023, page 892--897. United States, Institute of Electrical and Electronics Engineers Inc., (2023)Funding Information: ACKNOWLEDGMENT This work was supported by the German Federal Ministry of Education and Research in frame of the ZuSE-KI-AVF project under grant number 16ME0062.; 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 ; Conference date: 15-11-2023 Through 17-11-2023.
9 months ago by @fabcho
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Bayes
MIMO
array,
direction-of-arrival
estimation,
methods,
myown
radar,
recovery,
sparse
super-resolution
BayesMIMOarray,direction-of-arrivalestimation,methods,myownradar,recovery,sparsesuper-resolution
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6The max-min hill-climbing Bayesian network structure learning algorithm
I. Tsamardinos, L. Brown, and C. Aliferis. Machine learning, 65 (1): 31--78 (2006)
2 years ago by @becker
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paper:fastcor
partial
correlation
causation
bayesian
bayes
network
citedby:scholar:count:1912
citedby:scholar:timestamp:2022-9-23
paper:fastcorpartialcorrelationcausationbayesianbayesnetworkcitedby:scholar:count:1912citedby:scholar:timestamp:2022-9-23
(0)
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1Comparative Analysis of Classification Algorithms using Weka
S. Gera. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (5): 858-869 (July 2022)
2 years ago by @ijtsrd
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Bayes
Database
J48
Mining
Multilayer
Naïve
Perceptron
Random
Tree
WEKA
BayesDatabaseJ48MiningMultilayerNaïvePerceptronRandomTreeWEKA
(0)
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1Identifying the Key Factors of Training Technical School and College Teachers in Bangladesh Using Data Mining
M. Rabbani. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (1): 864-869 (December 2021)
2 years ago by @ijtsrd
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&
Analysis
Bangladesh
Bayes
Bureau
Classifier
College
Data
Decision
Discriminant
Evaluation
Extra
Forest
Instructors
K
Key
Learning
Linear
Logistic
Machine
Mining
Naive
Neighbors
Processing
Random
Regression
School
Statistics
Teachers
Technical
Tree
Trees
factors
of
&AnalysisBangladeshBayesBureauClassifierCollegeDataDecisionDiscriminantEvaluationExtraForestInstructorsKKeyLearningLinearLogisticMachineMiningNaiveNeighborsProcessingRandomRegressionSchoolStatisticsTeachersTechnicalTreeTreesfactorsof
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1Bayesian Structure Learning with Generative Flow Networks
T. Deleu, A. Góis, C. Emezue, M. Rankawat, S. Lacoste-Julien, S. Bauer, and Y. Bengio. arXiv preprint arXiv:2202.13903, (2022)
3 years ago by @becker
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toread
flow
mass
cytometry
cytof
bayes
neural
networks
bayesian
deep
learning
toreadflowmasscytometrycytofbayesneuralnetworksbayesiandeeplearning
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1Bayesian multitask learning regression for heterogeneous patient cohorts
A. Goncalves, P. Ray, B. Soper, D. Widemann, M. Nyg\aard, J. Nyg\aard, and A. Sales. Journal of Biomedical Informatics: X, (2019)
3 years ago by @becker
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bayes
bayesian
multitask
multi
task
learning
regression
heterogeneous
patient
medical
records
citedby:scholar:count:4
citedby:scholar:timestamp:2022-1-26
bayesbayesianmultitaskmultitasklearningregressionheterogeneouspatientmedicalrecordscitedby:scholar:count:4citedby:scholar:timestamp:2022-1-26
(0)
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1Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation
A. Mrowca, F. Gyrock, and S. Günnemann. Data Mining and Knowledge Discovery, (2021)
3 years ago by @becker
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bayes
bayesian
temporal
model
modeling
network
multivariate
sequence
discovery
bayesbayesiantemporalmodelmodelingnetworkmultivariatesequencediscovery
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1Twitter Based Sentimental Analysis of Impact of COVID-19 on Economy using Naïve Bayes Classifier
B. Sachidanand, Y. Jiang, and A. Hadaegh. International Journal of Artificial Intelligence and Expert Systems (IJAE), 10 (2): 33-46 (June 2021)
3 years ago by @cscjournals
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Analysis,
Bayes
COVID-19,
Classifier,
Economy,
Index.
Market
Naïve
Sentimental
Stock
Analysis,BayesCOVID-19,Classifier,Economy,Index.MarketNaïveSentimentalStock
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7Auto-Encoding Variational Bayes
D. Kingma, and M. Welling. (2013)cite arxiv:1312.6114.
3 years ago by @tobias.koopmann
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bayes
inference
bayesinference
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2BayReL: Bayesian Relational Learning for Multi-omics Data Integration
E. Hajiramezanali, A. Hasanzadeh, N. Duffield, K. Narayanan, and X. Qian. Advances in Neural Information Processing Systems, (2020)
3 years ago by @becker
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bayesian
modeling
bayes
relational
learning
multi
omics
multiomics
data
integration
bayesianmodelingbayesrelationallearningmultiomicsmultiomicsdataintegration
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1Detection and Prevention of Food Wastage by Tracking Real Time Data through Mobile Application
K. D. International Journal of Trend in Scientific Research and Development, 5 (3): 977-979 (April 2021)
3 years ago by @ijtsrd
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Android
Bayes
Naïve
abundance
algorithm
application
enterprise
food
fresh
industries
malnutrition
non-profit
organization
over
poverty
real
stricken
time
wastage
AndroidBayesNaïveabundancealgorithmapplicationenterprisefoodfreshindustriesmalnutritionnon-profitorganizationoverpovertyrealstrickentimewastage
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2A Bayesian approach for estimating causal effects from observational data
J. Pensar, T. Talvitie, A. Hyttinen, and M. Koivisto. Proceedings of the AAAI Conference on Artificial Intelligence, 34, page 5395--5402. (2020)
4 years ago by @becker
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flow
cytometry
bayesian
causal
bayes
effect
effects
biology
medicine
citedby:scholar:count:2
citedby:scholar:timestamp:2021-2-11
flowcytometrybayesiancausalbayeseffecteffectsbiologymedicinecitedby:scholar:count:2citedby:scholar:timestamp:2021-2-11
(0)
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3Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains
J. Gauvain, and C. Lee. IEEE Transactions on Speech and Audio Processing, 2 (2): 291-298 (April 1994)
4 years ago by @m-toman
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Bayes
Markov
a
adaptation;normal-Wishart
algorithm;hidden
algorithm;speech
algorithms;model
data
densities;Adaptation
densities;segmental
density;Gaussian
density;parameter
estimation
estimation;Maximum
estimation;Parameter
estimation;Robustness;Smoothing
estimation;forward-backward
estimation;maximum
estimation;parameter
estimation;speech
k-means
learning;Dirichlet
likelihood
methods;Hidden
methods;Speech
methods;hidden
mixture;HMM
model;Bayesian
models;Maximum
models;maximum
observation
parameters;MAP
posteriori
processes;Bayesian
recognition;Training
recognition;state
recognition;stochastic
smoothing;prior
BayesMarkovaadaptation;normal-Wishartalgorithm;hiddenalgorithm;speechalgorithms;modeldatadensities;Adaptationdensities;segmentaldensity;Gaussiandensity;parameterestimationestimation;Maximumestimation;Parameterestimation;Robustness;Smoothingestimation;forward-backwardestimation;maximumestimation;parameterestimation;speechk-meanslearning;Dirichletlikelihoodmethods;Hiddenmethods;Speechmethods;hiddenmixture;HMMmodel;Bayesianmodels;Maximummodels;maximumobservationparameters;MAPposterioriprocesses;Bayesianrecognition;Trainingrecognition;staterecognition;stochasticsmoothing;prior
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1Using Machine Learning to Build a Classification Model for IoT Networks to Detect Attack Signatures
M. Al-Akhras, M. Alawairdhi, A. Alkoudari, and S. Atawneh. International Journal of Computer Networks & Communications (IJCNC), 12 (6): 99-116 (November 2020)
4 years ago by @laimbee
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Bayes
Classification
Forest
Internet
Machine
Naïve
Neighbors
Random
Security
Things
k-Nearest
learning
model
of
BayesClassificationForestInternetMachineNaïveNeighborsRandomSecurityThingsk-Nearestlearningmodelof
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1Inference attacks on genomic data based on probabilistic graphical models
Z. He, and J. Zhou. Big Data Mining and Analytics, 3 (3): 225--233 (2020)
4 years ago by @becker
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generative
model
attack
privacy
probabilistic
inference
Bayes
Bayesian
generativemodelattackprivacyprobabilisticinferenceBayesBayesian
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2Relational inductive biases, deep learning, and graph networks
P. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)
4 years ago by @becker
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inductive
bias
bayes
bayesian
neural
network
deep
learning
relational
graph
networks
citedby:scholar:count:761
citedby:scholar:timestamp:2020-9-18
inductivebiasbayesbayesianneuralnetworkdeeplearningrelationalgraphnetworkscitedby:scholar:count:761citedby:scholar:timestamp:2020-9-18
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1Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms
R. M. International Journal of Trend in Scientific Research and Development, 4 (3): 1044-1048 (March 2020)
4 years ago by @ijtsrd
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Bayes
algorithm
bullying
cyber
decision
learning
logistic
machine
naïve
regression
support
tree
vector
Bayesalgorithmbullyingcyberdecisionlearninglogisticmachinenaïveregressionsupporttreevector
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1Hospital Management Software with Arthritis Prediction in Ayurveda
R. Jose. International Journal of Trend in Scientific Research and Development, 4 (3): 583-586 (April 2020)
4 years ago by @ijtsrd
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CART
KNN
LDA
Naïve
SVM
arthritis
bayes
factor
learning
machine
prediction
rheumatoid
CARTKNNLDANaïveSVMarthritisbayesfactorlearningmachinepredictionrheumatoid
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