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1Backing Up and Restoring IMAP Email with Thunderbird - Judebert.com
http://judebert.com/progress/archives/441-Backing-Up-and-Restoring-IMAP-Email-with-Thunderbird.html
3 years ago by @becker
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thunderbird
backup
imap
mail
client
incremental
email
inbox
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overviewthunderbirdbackupimapmailclientincrementalemailinboxmbox
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1IMAP backup - MozillaZine Knowledge Base
http://kb.mozillazine.org/IMAP_backup
3 years ago by @becker
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backup
imap
mail
client
incremental
email
inbox
mbox
overviewbackupimapmailclientincrementalemailinboxmbox
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1Bootstrapping Correlations
https://www.uvm.edu/~statdhtx/StatPages/Randomization%20Tests/BootstCorr/bootstrapping_correlations.html
3 years ago by @becker
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correlation
bootstrap
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overviewcorrelationbootstrapreferencespapersexamplebootstrapping
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1GitHub - tomohideshibata/BERT-related-papers: BERT-related papers
https://github.com/tomohideshibata/BERT-related-papers
4 years ago by @hotho
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lm
overview
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bert
list
lmoverviewpapersurverybertlist
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1hurcy/awesome-ehr-deeplearning: Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
https://github.com/hurcy/awesome-ehr-deeplearning
4 years ago by @becker
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1PPL APIs
https://colcarroll.github.io/ppl-api/
4 years ago by @becker
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comparison
language
probabilistic
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ppl
list
programming
overviewcomparisonlanguageprobabilisticreviewppllistprogramming
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1MULTI-VIEW LEARNING | Papers With Code
https://paperswithcode.com/task/multi-view-learning/
4 years ago by @becker
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nalab
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1Awesome-Pytorch-list | Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
4 years ago by @nosebrain
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1Email Encryption - OpenPGP
https://www.openpgp.org/software/
5 years ago by @nosebrain
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pgp
email
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1Multi-Omics Data Sharing
https://www.nature.com/collections/hbchcddagg/
5 years ago by @becker
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1GitHub - w5688414/deep-learning-for-tag-recommendation: this is the collection for the papers and codes for tag/hashtag recommendation
https://github.com/w5688414/deep-learning-for-tag-recommendation
5 years ago by @nosebrain
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1A Tour of The Top 10 Algorithms for Machine Learning Newbies
https://medium.com/cracking-the-data-science-interview/a-tour-of-the-top-10-algorithms-for-machine-learning-newbies-7228aa8ef541
5 years ago by @thoni
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easy
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1mikelove/awesome-multi-omics: List of software packages for multi-omics analysis
https://github.com/mikelove/awesome-multi-omics
5 years ago by @becker
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nalab
omics
bio
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multi
overviewnalabomicsbiomultiomicscollectionpapersmulti
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1Wimmics Research Team Overview 2017
Overview of the research domain and works of the joint research team Wimmics (UCS, Inria, CNRS, I3S) in Sophia Antipolis, France
5 years ago by @hotho
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slides
semantic
web
gandon
social
fabien
*****
overviewslidessemanticwebgandonsocialfabien*****
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1GitHub - hindupuravinash/the-gan-zoo: A list of all named GANs!
the-gan-zoo - A list of all named GANs!
6 years ago by @hotho
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gan
github
NN
list
overviewgangithubNNlist
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1An overview of word embeddings and their connection to distributional semantic models
http://blog.aylien.com/overview-word-embeddings-history-word2vec-cbow-glove/
6 years ago by @schwemmlein
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distributional
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distributionaloverviewnlpmodelssemanticpaper_ncembeddingshistoryword
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2edobashira/speech-language-processing: A curated list of speech and natural language processing resources
speech-language-processing - A curated list of speech and natural language processing resources
7 years ago by @hotho
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nlp
language
speech
recognition
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ml
overviewnlplanguagespeechrecognitionmodeltoolsml
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2What are some must read papers on machine learning for a beginner? - Quora
https://www.quora.com/What-are-some-must-read-papers-on-machine-learning-for-a-beginner
7 years ago by @becker
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google
papers
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scholar
overviewpapermachinelearningmetricsgooglepaperspopularinformationstatisticsmlscholar
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1Wearable Technology Database | Vandrico Inc
http://vandrico.com/wearables/
7 years ago by @hotho
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wearable
survey
list
overviewwearablesurveylist
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1Leaflet Provider Demo
https://leaflet-extras.github.io/leaflet-providers/preview/
7 years ago by @becker
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tiles
overview
geo
provider
visualization
map
spatial
leaflet
providers
tilesoverviewgeoprovidervisualizationmapspatialleafletproviders
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3An introduction to propensity score methods for reducing the effects of confounding in observational studies
P. Austin. Multivariate behavioral research, 46 (3): 399--424 (2011)
2 years ago by @becker
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overview
citedby:scholar:timestamp:2022-6-30
confounder
confounding
score
propensity
observational
citedby:scholar:count:7858
studies
introduction
overviewcitedby:scholar:timestamp:2022-6-30confounderconfoundingscorepropensityobservationalcitedby:scholar:count:7858studiesintroduction
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9An overview of data warehousing and OLAP technology
S. Chaudhuri, and U. Dayal. ACM SIGMOD Record, 26 (1): 65--74 (March 1997)
2 years ago by @hotho
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data
warehouse
olap
overviewdatawarehouseolap
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2Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
Z. Sun, D. Yu, H. Fang, J. Yang, X. Qu, J. Zhang, and C. Geng. Fourteenth ACM Conference on Recommender Systems, ACM, (September 2020)
3 years ago by @nosebrain
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overview
models
dataset
recommendation
overviewmodelsdatasetrecommendation
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7An overview of multi-task learning in deep neural networks
S. Ruder. arXiv preprint arXiv:1706.05098, (2017)
3 years ago by @becker
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citedby:scholar:count:1237
task
paper:milkreview:selected
deep
neural
machine
learning
survey
networks
multi
citedby:scholar:timestamp:2021-5-29
overviewcitedby:scholar:count:1237taskpaper:milkreview:selecteddeepneuralmachinelearningsurveynetworksmulticitedby:scholar:timestamp:2021-5-29
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4Using Temporal Data for Making Recommendations
A. Zimdars, D. Chickering, and C. Meek. UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, page 580--588. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2001)
3 years ago by @nosebrain
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mlp
item
recommendation
overviewmlpitemrecommendation
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5Which *BERT? A Survey Organizing Contextualized Encoders.
P. Xia, S. Wu, and B. Durme. EMNLP (1), page 7516-7533. Association for Computational Linguistics, (2020)
3 years ago by @nosebrain
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overview
bert
model
overviewbertmodel
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1Systems immunology: just getting started
M. Davis, C. Tato, and D. Furman. Nat Immunol, 18 (7): 725-732 (June 2017)
4 years ago by @becker
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overview
immune
system
systems
review
survey
relatedwork
immunology
p21
overviewimmunesystemsystemsreviewsurveyrelatedworkimmunologyp21
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2Deep Learning for Genomics: A Concise Overview
T. Yue, and H. Wang. CoRR, (2018)
4 years ago by @nosebrain
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overview
deep
genomics
learning
paper-dzhi
overviewdeepgenomicslearningpaper-dzhi
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5Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
M. Dacrema, P. Cremonesi, and D. Jannach. Proceedings of the 13th ACM Conference on Recommender Systems, page 101--109. New York, NY, USA, ACM, (2019)
4 years ago by @nosebrain
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lsx:reading-group
progress
recommender
overviewlsx:reading-groupprogressrecommender
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2Health recommender systems: concepts, requirements, technical basics and challenges
M. Wiesner, and D. Pfeifer. Int J Environ Res Public Health, 11 (3): 2580-2607 (March 2014)
5 years ago by @nosebrain
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overview
system
recommender
health
overviewsystemrecommenderhealth
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2Dimensionality reduction: a comparative review
L. Van Der Maaten, E. Postma, and J. Van den Herik. J Mach Learn Res, (2009)
6 years ago by @becker
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dimensionality
citedby:scholar:count:1539
review
survey
deepscan
reduction
citedby:scholar:timestamp:2018-5-15
overviewdimensionalitycitedby:scholar:count:1539reviewsurveydeepscanreductioncitedby:scholar:timestamp:2018-5-15
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4Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications
F. Lemmerich, P. Singer, M. Becker, L. Espin-Noboa, D. Dimitrov, D. Helic, A. Hotho, and M. Strohmaier. Machine Learning and Knowledge Discovery in Databases, page 354--357. Cham, Springer International Publishing, (2017)
6 years ago by @hotho
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overview
hyptrails
myown
bayesian
2017
data
sequential
application
hypotheses
overviewhyptrailsmyownbayesian2017datasequentialapplicationhypotheses
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3New Paths in Music Recommender Systems Research
M. Schedl, P. Knees, and F. Gouyon. Proceedings of the Eleventh ACM Conference on Recommender Systems, page 392--393. New York, NY, USA, ACM, (2017)
7 years ago by @nosebrain
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music
system
recommendation
overviewmusicsystemrecommendation
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10A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges.
G. Sun, Y. Wu, R. Liang, and S. Liu. J. Comput. Sci. Technol., 28 (5): 852-867 (2013)
7 years ago by @hotho
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overview
analytics
visual
survey
overviewanalyticsvisualsurvey
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61Machine Learning
T. Mitchell. McGraw-Hill, (1997)
7 years ago by @hotho
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overview
machine
learning
wj2017
introduction
overviewmachinelearningwj2017introduction
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2Estimating the evidence--a review
N. Friel, and J. Wyse. Statistica Neerlandica, 66 (3): 288--308 (2012)
7 years ago by @becker
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citedby:scholar:count:63
chain
evidence
diss
likelihood
citedby:scholar:timestamp:2017-4-8
estimation
chib
inthesis
review
marginal
markov
estimating
overviewcitedby:scholar:count:63chainevidencedisslikelihoodcitedby:scholar:timestamp:2017-4-8estimationchibinthesisreviewmarginalmarkovestimating
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10An overview of gradient descent optimization algorithms.
S. Ruder. CoRR, (2016)
7 years ago by @nosebrain
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overview
descent
gradient
algorithm
overviewdescentgradientalgorithm
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1Big data science & analytics : a hands-on approach
A. Bahga, and V. Madisetti. (2016)
7 years ago by @hotho
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overview
data
big
overviewdatabig
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2Urban Human Mobility Data Mining: An Overview
K. Zhao, S. Tarkoma, S. Liu, and H. Vo. Big Data, (December 2016)
7 years ago by @becker
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overview
mobility
inthesis
mining
data
urban
survey
diss
overviewmobilityinthesisminingdataurbansurveydiss
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2Learning Web Request Patterns
B. Davison. page 435--459. Springer Berlin Heidelberg, Berlin, Heidelberg, (2004)
7 years ago by @becker
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request
predicition
web
inthesis
mining
pattern
diss
overviewrequestpredicitionwebinthesisminingpatterndiss
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