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Accelerated Profile HMM Searches eBooks & eLearning
Posted by AlenMiler at May 5, 2015
Accelerated Profile HMM Searches by Sean Eddy
English | May 1, 2015 | ASIN: B00X1FYO8K | 109 Pages | EPUB/AZW3 | 1.74 MB/1.82 MB
English | May 1, 2015 | ASIN: B00X1FYO8K | 109 Pages | EPUB/AZW3 | 1.74 MB/1.82 MB
Profile hidden Markov models (profile HMMs) and probabilistic inference methods have made important contributions to the theory of sequence database homology search. However, practical use of profile HMM methods has been hindered by the computational expense of existing software implementations.
International Symposium on History of Machines and Mechanisms: Proceedings of HMM 2008 (Repost) eBooks & eLearning
Posted by step778 at Dec. 11, 2015
Hong-Sen Yan, Marco Ceccarelli, "International Symposium on History of Machines and Mechanisms: Proceedings of HMM 2008"
2009 | pages: 386 | ISBN: 1402094841 | PDF | 21 mb
2009 | pages: 386 | ISBN: 1402094841 | PDF | 21 mb
Hmm! 365 Yummy Comfort Food Dessert Recipes: Explore Yummy Comfort Food Dessert Cookbook NOW! eBooks & eLearning
Posted by Free butterfly at Sept. 8, 2020
Hmm! 365 Yummy Comfort Food Dessert Recipes: Explore Yummy Comfort Food Dessert Cookbook NOW! by Brenda Davis
English | 2020 | ISBN: N/A | ASIN: B08HNF7MZW | 632 pages | AZW3 | 0.58 Mb
English | 2020 | ISBN: N/A | ASIN: B08HNF7MZW | 632 pages | AZW3 | 0.58 Mb
International Symposium on History of Machines and Mechanisms: Proceedings of HMM 2008 eBooks & eLearning
Posted by tot167 at Jan. 14, 2009
Hong-Sen Yan, Marco Ceccarelli, “International Symposium on History of Machines and Mechanisms: Proceedings of HMM 2008”
Springer | 2009-02-01 | ISBN: 1402094841 | 388 pages | PDF | 19,6 MB
Springer | 2009-02-01 | ISBN: 1402094841 | 388 pages | PDF | 19,6 MB
Hmm...I Did Not Know That, 1,000 random & interesting facts on a variety of subjects eBooks & eLearning
Posted by arundhati at May 13, 2012
A.P. Holiday, "Hmm…I Did Not Know That, 1,000 random & interesting facts on a variety of subjects"
2011 | ASIN: B0050JBURI | MOBI | 84 pages | 0,12 MB
2011 | ASIN: B0050JBURI | MOBI | 84 pages | 0,12 MB
365 things to make you go hmm ... : A Year's worth of class thinking eBooks & eLearning
Posted by IrGens at Jan. 6, 2018
365 things to make you go hmm … : A Year's worth of class thinking by Sparky Teaching
English | September 30, 2014 | ISBN: 1781351155 | EPUB | 192 pages | 9.6 MB
English | September 30, 2014 | ISBN: 1781351155 | EPUB | 192 pages | 9.6 MB
International Symposium on History of Machines and Mechanisms Proceedings HMM 2000 eBooks & eLearning
Posted by insetes at June 22, 2024
International Symposium on History of Machines and Mechanisms Proceedings HMM 2000 By Marco Ceccarelli, Teun Koetsier (auth.), Prof. Marco Ceccarelli (eds.)
2000 | 387 Pages | ISBN: 9048154855 | PDF | 12 MB
2000 | 387 Pages | ISBN: 9048154855 | PDF | 12 MB
International Symposium on History of Machines and Mechanisms Proceedings HMM 2000 eBooks & eLearning
Posted by at June 22, 2024
International Symposium on History of Machines and Mechanisms Proceedings HMM 2000 By Marco Ceccarelli, Teun Koetsier (auth.), Prof. Marco Ceccarelli (eds.)
2000 | 387 Pages | ISBN: 9048154855 | PDF | 12 MB
2000 | 387 Pages | ISBN: 9048154855 | PDF | 12 MB
Алгоритмы биоинформатики eBooks & eLearning
Posted by TiranaDok at April 12, 2023
Алгоритмы биоинформатики by Филлип Компо
Russian | 2022 | ISBN: 9785937001757 | 684 pages | PDF | 95 Mb
Russian | 2022 | ISBN: 9785937001757 | 684 pages | PDF | 95 Mb
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python... eBooks & eLearning
Posted by First1 at Oct. 17, 2018
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem by Ankur Ankan, Abinash Panda
English | October 9th, 2018 | ISBN: 1788625447 | 178 Pages | EPUB | 24.39 MB
English | October 9th, 2018 | ISBN: 1788625447 | 178 Pages | EPUB | 24.39 MB
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn