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Q325.5 .O65 2012eb
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Optimization for machine learning / edited by Suvrit Sra, Sebastian Nowozin, and Stephen J. Wright.
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Bestseller
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2012
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Q325.5 .O86 2017eb online : Osoba, Osonde,
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An intelligence in our image : the risks of bias and errors in artificial intelligence / Osonde A. Os
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Bestseller
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2017
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Q325.5 .P455 2017eb : Philipp, Michel.
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Contributions to Machine Learning and Psychometrics : Computational, Graphical, and Statistical Metho
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Bestseller
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2017
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Q325.5 .P54 2012eb : Pieraccini, Roberto,
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The voice in the machine : building computers that understand speech / Roberto Pieraccini.
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Bestseller
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2012
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Q325.5 .P69 2012 : Powell, Warren B.,
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Optimal learning / Warren B. Powell, Operations Research and Financial Engineering, Princeton Univers
Moore Stacks:Available
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Book
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2012
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Q325.5 .P74 2007eb
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Predicting structured data / edited by Gökhan Bakır [and others].
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Bestseller
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2007
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Q325.5 .R35 2021 : Raj, Emmanuel,
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Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at
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Bestseller
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2021
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Q325.5 .R58 2020eb : Rivas, Dr. Pablo.
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Deep Learning for Beginners [electronic resource] / Dr. Pablo Rivas.
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Bestseller
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2020
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Q325.5 .S25 2021 : Saitoh, Koki,
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Deep learning from the basics : Python and deep learning : theory and implementation / Koki Saitoh.
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Bestseller
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2021
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Q325.5 .S28 2012
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Scaling up machine learning : parallel and distributed approaches / edited by Ron Bekkerman, Mikhail
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Bestseller
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2012
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Q325.5 .S32 2002eb : Schölkopf, Bernhard.
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Learning with kernels : support vector machines, regularization, optimization, and beyond / Bernhard
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Bestseller
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2002
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Q325.5 .S62 2020b : So, Anthony
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The the Data Science Workshop : Learn How You Can Build Machine Learning Models and Create Your Own R
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Bestseller
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2020
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Q325.5 .S62 2020eb : So, Anthony
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The data science workshop : a new, interactive approach to learning data science / Anthony So [and fo
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Bestseller
|
2020
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Q325.5 .S63 2021 : Sobrecueva, Luis,
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Automated machine learning with AutoKeras : deep learning made accessible for everyone with just few
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Bestseller
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2021
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Q325.5 .S845 2012eb : Sugiyama, Masashi,
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Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masash
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Bestseller
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2012
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Q325.5 .S867 2011eb
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Support vector machines : data analysis, machine learning, and applications / Brandon H. Boyle, edito
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Bestseller
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2011
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Q325.5 .S87 2004eb
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Support vector machine in chemistry / Nianyi Chen [and others].
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Bestseller
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2004
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Q325.5 .T44 2017 : Theobald, Oliver,
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Machine learning for absolute beginners / Oliver Theobald.
Moore Stacks:Available
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Book
|
2017
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Q325.5 .T864 2020 : Tung, K. C.,
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Learn tensorFlow enterprise : build, manage, and scale seamless machine learning workloads using Goog
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Bestseller
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2020
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Q325.5 .Z333 2018eb : Zaccone, Giancarlo.
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2n
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Bestseller
|
2018
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Q325.6
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Exploiting environment configurability in reinforcement learning / Alberto Maria Metelli.
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Bestseller
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2022
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Hands-on deep learning for games : leverage the power of neural networks and reinforcement learning t
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Bestseller
|
2019
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Hands-on reinforcement learning for games : implementing self-learning agents in games using artifici
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Bestseller
|
2020
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Keras 2.x projects : 9 projects demonstrating faster experimentation of neural network and deep learn
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Bestseller
|
2018
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Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with T
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Bestseller
|
2018
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Q325.6 .B55 2020 : Bilgin, Enes.
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Mastering reinforcement learning with Python : build next-generation, self-learning models using rein
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Bestseller
|
2020
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Q325.6 .P35 2020 : Palmas, Alessandro.
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The Reinforcement Learning Workshop [electronic resource] : Learn How to Apply Cutting-Edge Reinforce
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Bestseller
|
2020
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Q325.6 .R38 2020 : Ravichandiran, Sudharsan,
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Deep reinforcement learning with Python : master classic RL, deep RL, distributional RL, inverse RL,
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Bestseller
|
2020
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Q325.6 .S88 1998 : Sutton, Richard S.
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Reinforcement Learning An Introduction / Richard S. Sutton and Andrew G. Barto.
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Bestseller
|
1998
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Q325.7 : Müller, M. E.
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Relational knowledge discovery / M.E. Müller.
|
Bestseller
|
2012
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Q325.7 .G63 1995eb
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Goal-driven learning / edited by Ashwin Ram and David B. Leake.
|
Bestseller
|
1995
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Q325.7 .J37 1996eb : Jackson, Stuart A.
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Connectionism and meaning : from truth conditions to weight representations / by Stuart A. Jackson.
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Bestseller
|
1996
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Q325.7 .N37 2003eb : NATO Advanced Study Institute on Learning Theory and Practice
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Advances in learning theory : methods, models, and applications / edited by Johan Suykens [and others
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Bestseller
|
2003
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Q325.7 .R47x 2010eb
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Report of a workshop on the scope and nature of computational thinking / Committee for the Workshops
|
Bestseller
|
2010
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Q325.75
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Semi-supervised learning : background, applications and future directions / Guoqiang Zhong and Kaizhu
|
Bestseller
|
2018
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Q325.75 .H37 2009 : Hastie, Trevor.
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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert
Moore Stacks:DUE 12-21-23
|
Book
|
2009
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Q325.75 .H37 2009eb : Hastie, Trevor,
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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert
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Bestseller
|
2009
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Q325.75 .S33 2012eb : Schapire, Robert E.
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Boosting : foundations and algorithms / Robert E. Schapire and Yoav Freund.
|
Bestseller
|
2012
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Q325.75 .S42 2006eb
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Semi-supervised learning / [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien.
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Bestseller
|
2006
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Q327 .B52 2006 : Bishop, Christopher M.
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Pattern recognition and machine learning / Christopher M. Bishop.
Moore Stacks:Available
|
Book
|
2006
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Q327 .C66 1972eb
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Computer-oriented approaches to pattern recognition / edited by William S. Meisel.
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Bestseller
|
1972
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Q327 .C8 : Culbertson, James T.
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The minds of robots; sense data, memory images, and behavior in conscious automata.
Moore Stacks:Available
|
Book
|
1963
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Q327 .F8 1968eb : Fu, K. S.
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Sequential methods in pattern recognition and machine learning / K.S. Fu.
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Bestseller
|
1968
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Q327 .F85 1990eb : Fukunaga, Keinosuke.
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Introduction to statistical pattern recognition / Keinosuke Fukunaga.
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Bestseller
|
1990
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Q327 .G7275 2007eb : Grenander, Ulf.
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Pattern theory : from representation to inference / Ulf Grenander and Michael I. Miller.
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Bestseller
|
2007
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Q327 .M45 1970eb
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Adaptive, learning, and pattern recognition systems : theory and applications / edited by J.M. Mendel
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Bestseller
|
1970
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Q327 .P38 2017eb
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Pattern analysis : methods, applications and challenges / Benjamin Santucci, editor.
|
Bestseller
|
2017
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Q327 .Y68 : Young, Tzay Y.,
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Classification, estimation, and pattern recognition / Tzay Y. Young [and] Thomas W. Calvert.
Moore Stacks:Available
|
Book
|
1974
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Q334
|
|
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Advances in digital technologies : proceedings of the 7th International Conference on Applications of
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Bestseller
|
2016
|
|
Applications of intelligent systems : proceedings of the 1st International APPIS Conference 2018 / ed
|
Bestseller
|
2018
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Artificial intelligence and robotics / Huimin Lu, Xing Xu, editors.
|
Bestseller
|
2018
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Artificial intelligence research and development : current challenges, new trends and applications /
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Bestseller
|
2018
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21 additional entries
|
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Q334 .A345 2006eb : AGI Workshop
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Advances in artificial general intelligence : concepts, architectures and algorithms : proceedings of
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Bestseller
|
2007
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Q334 .A45 1984
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The AI business : the commercial uses of artificial intelligence / edited by Patrick H. Winston, Kare
Moore Stacks:Available
|
Book
|
1984
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Q334 .A78 2013 : Catalonian Conference on AI
|
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Artificial intelligence research and development : proceedings of the 16th International Conference o
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Bestseller
|
2013
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Q334 .A853 1999eb : Asian Logic Conference
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Proceedings of the 7th & 8th Asian Logic Conferences : Hsi-Tou, Taiwan, 6-10 June 1999, Chongqing, Ch
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Bestseller
|
2003
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Q334 .A853 2005eb : Asian Logic Conference
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Mathematical logic in Asia : proceedings of the 9th Asian Logic Conference, Novosibirsk, Russia, 16-1
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Bestseller
|
2006
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