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ref_downloader.sh
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ref_downloader.sh
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mkdir refs
cd refs
echo "CH01"
# 0101 ESL
echo "same with 0704"
# 0102 PRML
wget "https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf" -O 0102.pdf
# 0103 PGM
wget "https://github.com/Zhenye-Na/machine-learning-uiuc/blob/master/docs/Probabilistic%20Graphical%20Models%20-%20Principles%20and%20Techniques.pdf" -O 0103.pdf
# 0104 DL
wget "https://github.com/Zhenye-Na/cs446/blob/master/docs/Deep%20Learning.pdf" -O 0104.pdf
echo "ch02"
# 0201
wget "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.335.3398&rep=rep1&type=pdf" -O 0201.pdf
# 0202
wget "https://cs.uwaterloo.ca/~y328yu/classics/novikoff.pdf" -O 0202.pdf
# 0205
wget "https://cseweb.ucsd.edu/~yfreund/papers/LargeMarginsUsingPerceptron.pdf" -O 0205.pdf
# 0206
wget "https://www.researchgate.net/profile/Yaoyong_Li/publication/37537459_The_Perceptron_Algorithm_with_Uneven_Margins/links/0046351790be7e102e000000/The-Perceptron-Algorithm-with-Uneven-Margins.pdf" -O 0206.pdf
# 0207
wget "https://web.stanford.edu/class/ee373b/30years.pdf" -O 0207.pdf
echo "CH03"
echo "ch04"
# 0401
wget "http://www.cs.cmu.edu/~tom/mlbook/NBayesLogReg.pdf" -O 0401.pdf
# 0402
echo "same with 0704"
# 0403 PRML
echo "same with 0102"
echo "ch06"
# 0601
wget "http://www.aclweb.org/anthology/J96-1002" -O 0601.pdf
# 0602
# http://www.cs.cmu.edu/afs/cs/user/aberger/www/ps/scaling.ps
wget "http://www.cs.cmu.edu/~aberger/pdf/scaling.pdf" -O 0602.pdf
# 0603
echo "same with 0704"
# 0604
echo "a book"
# 0605
wget "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.135.1357&rep=rep1&type=pdf" -O 0605.pdf
# 0606
wget "https://alex.smola.org/papers/2005/CanSmo05.pdf" -O 0606.pdf
echo "ch07"
# 0701
wget "http://image.diku.dk/imagecanon/material/cortes_vapnik95.pdf" -O 0701.pdf
# 0702
wget "http://www.svms.org/training/BOGV92.pdf" -O 0702.pdf
# 0704 这个是原书英文第二版
wget "https://statisticalsupportandresearch.files.wordpress.com/2017/05/vladimir-vapnik-the-nature-of-statistical-learning-springer-2010.pdf" -O 0704.pdf
# 0705, 这个也有几个版本，微软这个版本链接也有过变更
wget "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/smo-book.pdf" -O 0705.pdf
# 0715
wget "http://www.kernel-machines.org/publications/pdfs/0701907.pdf" -O 0715.pdf
echo "ch08"
# 0801
wget https://cseweb.ucsd.edu/~yfreund/papers/IntroToBoosting.pdf -O 0801.pdf
# 0802 ESLII
wget "https://web.stanford.edu/~hastie/Papers/ESLII.pdf" -O 0802.pdf
# 0803 PAC
wget "https://people.mpi-inf.mpg.de/~mehlhorn/SeminarEvolvability/ValiantLearnable.pdf" -O 0803.pdf
# 0804
wget "http://rob.schapire.net/papers/strengthofweak.pdf" -O 0804.pdf
# 0805 这个文章很多版本， 96年也有发表
wget http://www.dklevine.com/archive/refs4570.pdf -O 0805.pdf
# 0806 这是个特邀文章
wget "https://web.stanford.edu/~hastie/Papers/AdditiveLogisticRegression/alr.pdf" -O 0806.pdf
# 0807
wget https://statweb.stanford.edu/~jhf/ftp/trebst.pdf -O 0807.pdf
# 0808
wget "https://sci2s.ugr.es/keel/pdf/algorithm/articulo/1999-ML-Improved%20boosting%20algorithms%20using%20confidence-rated%20predictions%20(Schapire%20y%20Singer).pdf" -O 0808.pdf
# 0809
wget "https://link.springer.com/content/pdf/10.1023%2FA%3A1013912006537.pdf" -O 0809.pdf
echo "ch09"
# 0901
wget "http://web.mit.edu/6.435/www/Dempster77.pdf" -O 0901.pdf
# 0902 ESLII
echo "same with 0704"
# 0903 Book 2007 second edition no link
# 0905
wget "https://projecteuclid.org/download/pdf_1/euclid.aos/1176346060" -O 0905.pdf
# 0906
wget "http://www.cs.toronto.edu/~fritz/absps/emk.pdf" -O 0906.pdf
echo "ch10"
# 1001
wget "http://ai.stanford.edu/~pabbeel/depth_qual/Rabiner_Juang_hmms.pdf" -O 1001.pdf
# 1002
wget "https://www.ece.ucsb.edu/Faculty/Rabiner/ece259/Reprints/tutorial%20on%20hmm%20and%20applications.pdf" -O 1002.pdf
# 1003 BW Algorithm
wget "https://projecteuclid.org/download/pdf_1/euclid.aoms/1177697196" -O 1003.pdf
# 1004
wget "http://101.96.10.64/ssli.ee.washington.edu/people/bilmes/mypapers/em.pdf" -O 1004.pdf
echo "CH11"
# 1101 PRML
echo "same with 0403"
# 1102 PGM, Koller
echo "visit this link to download pdf file: http://vk.com/doc168073_304660839?hash=39a33dd8aa6b141d8a&dl=b667454bc650f66cc0"
# 1103
wget "http://www.cs.cmu.edu/~mccallum/papers/crf-icml2001s.ps.gz" -O 1103.pdf
# 1104
wget "http://aclweb.org/anthology/N03-1028" -O 1104.pdf
# 1105
wget "http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf" -O 1105.pdf
# 1106
wget "https://www.robots.ox.ac.uk/~vgg/rg/papers/maxmarginmarkovnetworks.pdf" -O 1106.pdf
# 1107
wget "https://icml.cc/Conferences/2004/proceedings/papers/76.pdf" -O 1107.pdf
echo "CH14"
# 1401
wget "https://homepages.inf.ed.ac.uk/rbf/BOOKS/JAIN/Clustering_Jain_Dubes.pdf" -O 1401.pdf
# 1402
# 1403
wget "https://pdfs.semanticscholar.org/a718/b85520bea702533ca9a5954c33576fd162b0.pdf" -O 1403.pdf
# 1404
# 1405
# 1406
# 1407
# 1408
echo "CH15"
# 1502
wget "https://github.com/J-Mourad/Introduction-to-Linear-Algebra-5th-Edition---EE16A/raw/master/Ed%205%2C%20Gilbert%20Strang%20-%20Introduction%20to%20Linear%20Algebra%20(2016%2C%20Wellesley-Cambridge%20Press).pdf" -O 1502.pdf
# 1503
wget "https://www.cs.utexas.edu/users/inderjit/public_papers/HLA_SVD.pdf" -O 1503.pdf
# 1505
wget "http://www.kolda.net/publication/TensorReview.pdf" -O 1505.pdf
echo "CH16"
wget "https://arxiv.org/pdf/1404.1100.pdf" -O 1604.pdf
echo "CH17"
# 1701 LSA
wget "http://lsa.colorado.edu/papers/JASIS.lsi.90.pdf" -O 1701.pdf
# 1702
# 1703 NMF
wget "http://www.columbia.edu/~jwp2128/Teaching/E4903/papers/nmf_nature.pdf" -O 1703.pdf
# 1704 NMF NIPS 2001
wget "https://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf" -O 1704.pdf
echo "CH18"
# 1801
wget "http://www.iro.umontreal.ca/~nie/IFT6255/Hofmann-UAI99.pdf" -O 1801.pdf
# 1802
wget "https://sigir.org/wp-content/uploads/2017/06/p211.pdf" -O 1802.pdf
# 1803
wget "http://www.cs.bham.ac.uk/~pxt/IDA/plsa.pdf" -O 1803.pdf
# 1804
wget "http://ranger.uta.edu/~chqding/papers/NMFpLSIequiv.pdf" -O 1804.pdf