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検索キーワード:(件名: #Machine learning)
該当件数:174件
Machine learning and its applications : advanced lectures / Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos (eds.)
Berlin : Springer , c2001. - (Lecture notes in computer science ; 2049 . Lecture notes in artificial intelligence)
図書 <BB00525211>
Machine learning : a theoretical approach / Balas K. Natarajan
San Mateo, Calif. : M. Kaufmann Publishers , c1991
図書 <BB00160540>
Machine learning : neural networks, genetic algorithms, and fuzzy systems / Hojjat Adeli, Shih-Lin Hung
New York : Wiley , c1995
図書 <BB00285577>
Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville
: hbk. - Cambridge, Mass. : MIT Press , c2016. - (Adaptive computation and machine learning)
図書 <BB13003556>
Generative deep learning : teaching machines to paint, write, compose, and play / David Foster
: pbk. - Sebastopol : O'Reilly , c2019
図書 <BB13096258>
Dataset shift in machine learning / Joaquin Quiñonero-Candela ... [et al.]
Cambridge, Mass. : MIT Press , c2009. - (Neural information processing series)
図書 <BB13082923>
Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masashi Sugiyama and Motoaki Kawanabe
: hbk. - Cambridge, Mass. ; London : MIT Press , c2012. - (Adaptive computation and machine learning)
図書 <BB13082927>
Optimal learning / Warren B. Powell, Ilya O. Ryzhov
: hbk. - Hoboken, N.J. : Wiley , 2012. - (Wiley series in probability and mathematical statistics)
図書 <BB12581624>
Machine learning : theory and applications / edited by Venu Govindaraju, C.R. Rao
Amsterdam ; Tokyo : North-Holland is an imprint of Elsevier , 2013. - (Handbook of statistics ; v. 31)
図書 <BB12621029>
Machine learning
Vol. 1, no. 1 (1986)-. - Boston : Kluwer Academic Publishers , 1986-
雑誌 <SB00948721>
Introduction to machine learning / Ethem Alpaydin
: hardcover. - 3rd ed. - Cambridge : MIT Press , c2014. - (Adaptive computation and machine learning)
図書 <BB12863106>
Journal of machine learning research : JMLR
Vol. 1-. - [Cambridge, Mass.] : MIT Press , ©2000-
電子ジャーナル <OJ00033356>
Advances in learning classifier systems : Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000 : revised papers / Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (eds.)
Berlin ; Tokyo : Springer , c2001. - (Lecture notes in computer science ; 1996 . Lecture notes in artificial intelligence)
図書 <BB00527281>
Learning kernel classifiers : theory and algorithms / Ralf Herbrich
: hc. - Cambridge, Mass. : MIT Press , c2002. - (Adaptive computation and machine learning)
図書 <BB00537039>
Learning with recurrent neural networks / Barbara Hammer
London : Springer , c2000. - (Lecture notes in control and information sciences ; 254)
図書 <BB00482316>
Machine Learning : proceedings of the Eighteenth International Conference (ICML 2001), Williams College, June 28- July 1, 2001 / edited by Carla E. Brodley, Andrea Pohoreckyj Danyluk
San Francisco, Ca. : Morgan Kaufmann , c2001
図書 <BB00524451>
Learning to classify text using support vector machines : methods, theory and algorithms / by Thorsten Joachims
Boston : Kluwer Academic Publishers , c2002. - (The Kluwer international series in engineering and computer science ; SECS 668)
図書 <BB00548237>
Neural network learning : theoretical foundations / Martin Anthony and Peter L. Bartlett
Cambridge : Cambridge University Press , 1999
図書 <BB00454665>
Recurrent neural networks for prediction : learning algorithms, architectures and stability / Danilo P. Mandic, Jonathon A. Chambers
Chichester, West Sussex : J. Wiley , c2001. - (Adaptive and learning systems for signal processing, communications, and control)
図書 <BB10053622>
Machine learning / Tom M. Mitchell
New York : McGraw-Hill , c1997. - (McGraw-Hill computer science series ; Artificial intelligence)
図書 <BB10053561>
Machine learning methods for planning / edited by Steven Minton
San Mateo, Calif. : M. Kaufmann , c1993. - (The Morgan Kaufmann series in machine learning)
図書 <BB00249581>
Machine learning : an artificial intelligence approach / contributors, Saul Amarel ... [et al.] ; editors, Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell
[v. 1] - v. 4. - San Mateo, Calif. : Morgan Kaufmann , c1983-c1994
図書 <BB00002960>
Machine learning : an artificial intelligence approach / edited by R.S. Michalski, J.G. Carbonell, T.M. Mitchell
: gw,: us. - Berlin : Springer , 1984. - (Symbolic computation)
図書 <BB00003792>
Support vector machines / Ingo Steinwart, Andreas Christmann
New York : Springer , c2008. - (Information science and statistics / series editors M. Jordan ... [et al.])
図書 <BB10336311>
Machine Learning / Tom M. Mitchell
: pbk. - International ed. - New York ; Tokyo : McGraw-Hill , 1997. - (McGraw-Hill computer science series ; Artificial intelligence). - (McGraw-Hill international editions)
図書 <BB10251105>
Pattern recognition and machine learning / Christopher M. Bishop
New York : Springer , c2006. - (Information science and statistics / series editors M. Jordan ... [et al.])
図書 <BB10219599>
Machine learning : an algorithmic perspective / Stephen Marsland
Boca Raton : Chapman & Hall/CRC , c2009. - (Chapman & Hall/CRC machine learning & pattern recognition series)
図書 <BB12866954>
Applied genetic programming and machine learning / Hitoshi Iba, Topon Kumar Paul, Yoshihiko Hasegawa
Boca Raton, Fla. : CRC Press , c2010. - (The CRC Press international series on computational intelligence / series editor L. C. Jain)
図書 <BB12885759>
Machine learning : a Bayesian and optimization perspective / Sergios Theodoridis
: hbk. - Amsterdam : Academic Press , c2015
図書 <BB12917208>
Machine learning in complex networks / Thiago Christiano Silva, Liang Zhao
Cham : Springer , c2016
図書 <BB12965563>
Deep learning with PyTorch / Eli Stevens, Luca Antiga, and Thomas Viehmann ; foreword by Soumith Chintala
New York : Manning Publications , c2020
図書 <BB13150466>
Machine learning : the art and science of algorithms that make sense of data / Peter Flach
: hbk,: pbk. - Cambridge : Cambridge University Press , 2012
図書 <BB13082930>
Introduction to statistical machine learning / Masashi Sugiyama
: pbk. - Amsterdam ; Tokyo : Morgan Kaufmann , c2016
図書 <BB13082932>
Source separation and machine learning / Jen-Tzung Chien
: [pbk.]. - London : Academic Press, an imprint of Elsevier , c2019
図書 <BB13083015>
Deep learning for matching in search and recommendation / Jun Xu, Xiangnan He, Hang Li
: [pbk.]. - Boston : Now Publishers , c2020. - (Foundations and trends in information retrieval ; v. 14, issue 2-3)
図書 <BB13164028>
Hands-on deep learning architectures with Python : create deep neural networks to solve computational problems using TensorFlow and Keras / Yuxi (Hayden) Liu, Saransh Mehta
: [pbk.]. - Birmingham : Packt Pub. , 2019
図書 <BB13164035>
Spark : the definintive guide : big data processing made simple / Bill Chambers and Matei Zaharia
Sebastopol : O'Reilly , 2018
図書 <BB13193146>
Neural networks and machine learning / edited by Christopher M. Bishop
Berlin : Springer, 1998. - (NATO ASI series ; Series F . Computer and systems sciences ; no. 168)
図書 <BB00405324>
ICML 2007 : proceedings of the twenty-fourth International Conference on Machine Learning / edited by Zoubin Ghahramani
print. - New York : ACM , 2007
電子書籍 <OB00745766>
ICML 2008 : proceedings of the twenty-fifth International Conference on Machine Learning / edited by Andrew McCallum and Sam Roweis
print. - New York : ACM , 2008
電子書籍 <OB00745767>
MLSDA 2013 : proceedings of the 1st Workshop on Machine Learning for Sensory Data Analysis : 3 December 2013, Dunedin, New Zealand / editors, Jeremiah D. Deng, Haibo Zhang
print. - New York : ACM , 2013
電子書籍 <OB00746205>
Proceedings of the eleventh annual Conference on Computational Learning Theory / chairmen, Peter Bartlett, Yishay Mansour ; sponsors, SIGACT ACM Special Interest Group on Algorithms and Computation Theory, SIGAI ACM Special Interest Group on Artificial Intelligence, University of Wisconsin
print. - New York : ACM , 1998
電子書籍 <OB00749956>
Proceedings of the seventh annual ACM Conference on Computational Learning Theory : COLT 94 : July 12th-15th, 1994 : New Brunswick, New Jersey / sponsored by ACM SIGACT and ACM SIGART
New York, N.Y. : Association for Computer Machinery , c1994
電子書籍 <OB00750624>
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory : July 26th-28th, 1993, Santa Cruz, Calif. / sponsored by ACM SIGACT and ACM SIGART
[New York : Association for Computing Machinery , c1993]
電子書籍 <OB00750694>
Proceedings of the twenty-first International Conference on Machine Learning / conference chair Carla Brodley
print. - New York : ACM , 2004
電子書籍 <OB00750950>
Proceedings, twenty-second International Conference on Machine Learning / edited by Luc De Raedt and Stefan Wrobel
print. - New York : ACM , 2005
電子書籍 <OB00751104>
ICDLT 2017 : proceedings of 2017 International Conference on Deep Learning Technologies : June 2-4, 2017, Chengdu, China
New York : ACM , 2017
電子書籍 <OB00764984>
Deep Learning for NLP and Speech Recognition / Uday Kamath, John Liu, James Whitaker
[: pbk.]. - Cham : Springer , c2019
図書 <BB13143994>
Python machine learning : machine learning and deep learning with Python, scikit-learn, and TesorFlow / Sebastian Raschka, Vahid Mirjalili
2nd ed. - Birmingham : Packt Pub. , 2017. - (Expert insight)
図書 <BB13044718>
Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar
Cambridge, MA : MIT Press , c2012. - (Adaptive computation and machine learning)
図書 <BB12863076>