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Publication search results
found 1,612 matches
- 2024
- Andrew Cox:
The myth of artificial intelligence: Why computers can't think the way we do. Erik J. Larson. Cambridge, MA: Harvard University Press, 2021. 320 pp. $29.95 (hardcover). (ISBN 9780674983519). J. Assoc. Inf. Sci. Technol. 75(9): 1018-1021 (2024) - Stephanie Elysia Chungdinata, Andriko, Nathan, Zulfaidil, Maya Nabila:
Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490: Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490. Technometrics 66(2): 315-316 (2024) - Stan Lipovetsky:
Essential Mathematics for Engineers and Scientists Essential Mathematics for Engineers and Scientists Thomas J. Pence and Indrek S. Wichman, New York: Cambridge University Press, 2020, xx + 736 pp., $135.00, ISBN 978-1-108-42544-5 (hbk): Thomas J. Pence and Indrek S. Wichman, New York: Cambridge University Press, 2020, xx + 736 pp., $135.00, ISBN 978-1-108-42544-5 (hbk). Technometrics 66(2): 311-313 (2024) - Guy N. Rothblum:
5th Symposium on Foundations of Responsible Computing, FORC 2024, June 12-14, 2024, Harvard University, Cambridge, MA, USA. LIPIcs 295, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2024, ISBN 978-3-95977-319-5 [contents] - 2023
- Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu:
Genome-Scale Algorithm Design: Bioinformatics in the Era of High-Throughput Sequencing (2nd edition). Cambridge University Press 2023, ISBN 9781009341233 - Magdalen Elmitt:
Katie Steele and H. Orri Stefánsson. Beyond Uncertainty: Reasoning with Unknown Possibilities. Elements in Decision Theory and Philosophy. Cambridge University Press, Cambridge, UK, 2021, 110 pp. Bull. Symb. Log. 29(2): 294-296 (2023) - Derek Levinson:
John Steel and Hugh Woodin. HOD as a Core Model. Ordinal Definability and Recursion Theory: The Cabal Seminar, Volume III, edited by Alexander Kechris, Benedikt Lowe, and John Steel, Lecture Notes in Logic, vol. 3, Cambridge University Press, Cambridge, pp. 257-345. Bull. Symb. Log. 29(4): 656-657 (2023) - Moritz Müller:
Jan Krajìček, Proof Complexity, Encyclopedia of Mathematics and Its Applications, no. 170, Cambridge University Press, Cambridge, UK, 2019, xvi + 516 pp. Bull. Symb. Log. 29(2): 296-297 (2023) - Jason Dyck:
Paul M. Dover. The Information Revolution in Early Modern Europe. Cambridge: Cambridge University Press, 2021. Coll. Res. Libr. 84(2) (2023) - Ana Ndumu:
Jarvis R. Givens. Fugitive Pedagogy: Carter G. Woodson and the Art of Black Teaching. Cambridge, MA: Harvard University Press, 2021. Hardcover, 320 p. $36 ISBN 978-0-6749-8368-7. Coll. Res. Libr. 84(4) (2023) - Abraham Neyman:
A Course on Stochastic Game Theory, by Eilon Solan, Cambridge University Press, 2022. Games Econ. Behav. 142: 1043-1044 (2023) - Ju Wen, Lan Yi:
Natural Language Processing for Corpus Linguistics by Jonathan Dunn. Cambridge: Cambridge University Press, 2022. ISBN 9781009070447 (PB), ISBN 9781009070447 (OC), vi+88 pages. Nat. Lang. Eng. 29(3): 842-845 (2023) - Ivo Pezlar:
Nils Kürbis, Proof and Falsity: A Logical Investigation, Cambridge University Press, 2019, pp. 316; ISBN: 978-110-87-1672-7 (Softcover)£24.99, ISBN: 978-110-84-8130-4 (Hardcover)£78.99, ISBN: 978-110-86-2517-3 (eBook) $26.00. Stud Logica 111(2): 353-356 (2023) - Stan Lipovetsky:
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Student ed.Bradley Efron and Trevor Hastie, UK: Cambridge University Press, 2021, xix + 491 pp., $ 39.99 (pbk), ISBN 978-1-108-82341-8. Technometrics 65(4): 611-613 (2023) - Firdous Ahmad Mala:
Polynomial Methods and Incidence Theory: Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988. Technometrics 65(3): 449-450 (2023) - 2022
- Brett F. Gutstein:
Memory safety with CHERI capabilities: security analysis, language interpreters, and heap temporal safety. University of Cambridge, UK, 2022 - Joseph Isaacs:
Furthering Datalog in the pursuit of program analysis. University of Cambridge, UK, 2022 - Shyam Tailor:
Practical processing and acceleration of graph neural networks. University of Cambridge, UK, 2022 - Juan P. Ruiz:
Book Review: Advanced Optimization for Process Systems Engineering by Ignacio E. Grossmann (Cambridge University Press). Comput. Chem. Eng. 160: 107728 (2022) - Andrew D. Miller:
Should You Believe Wikipedia? Online Communities and the Construction of Knowledge, Amy S. Bruckman, Cambridge University Press, Cambridge, United Kingdom, 2022, 260 pp. ISBN 978-1-108-49032-7. Comput. Support. Cooperative Work. 31(3): 561-565 (2022) - Madelyn Rose Sanfilippo:
Algorithms and autonomy: The ethics of automated decision systems. Rubel, Alan Castro, Clinton Pham, Adam Cambridge University Press (9781108795395). J. Assoc. Inf. Sci. Technol. 73(10): 1506-1509 (2022) - Andri Johnston, William Pickett:
Using DIMPACT to calculate the carbon impact of digital publishing at Cambridge University Press & Assessment. Learn. Publ. 35(S1): 704-710 (2022) - Adian Liusie, Mengjie Qian, Xiang Li, Mark J. F. Gales:
University of Cambridge at TREC Cast 2022. TREC 2022 - Silja Voeneky, Philipp Kellmeyer, Oliver Müller, Wolfram Burgard:
The Cambridge Handbook of Responsible Artificial Intelligence - Interdisciplinary Perspectives. Cambridge Law Handbooks, Cambridge University Press 2022, ISBN 9781009207898 [contents] - 2021
- Dashun Wang, Albert-László Barabási:
The Science of Science. Cambridge University Press 2021, ISBN 978-1108716956 - Mansoor Ahmed:
Decentralised computer systems. University of Cambridge, UK, 2021 - Pawel Budzianowski:
Data-driven policy optimisation for multi-domain task-oriented dialogue. University of Cambridge, UK, 2021 - Catalina Cangea:
Exploiting multimodality and structure in world representations. University of Cambridge, UK, 2021 - Luke Dicks:
K-means landscapes: exploring clustering solution spaces using energy landscape theory. University of Cambridge, UK, 2021 - Ayat Fekry:
Optimizing data-intensive computing with efficient configuration tuning. University of Cambridge, UK, 2021
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