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Books on the topic 'Multi-machine'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Schwartz, Howard M. Multi-Agent Machine Learning. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118884614.

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2

Jin, Yaochu, ed. Multi-Objective Machine Learning. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33019-4.

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3

Jin, Yaochu, ed. Multi-Objective Machine Learning. Springer-Verlag, 2006. http://dx.doi.org/10.1007/11399346.

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4

1966-, Jin Yaochu, ed. Multi-objective machine learning. Springer, 2006.

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5

Kovalev, Mikhail, Silvia M. Müller, and Wolfgang J. Paul. A Pipelined Multi-core MIPS Machine. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13906-7.

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6

Alkhateeb, Abedalrhman, and Luis Rueda, eds. Machine Learning Methods for Multi-Omics Data Integration. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-36502-7.

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7

Lutsyk, Petro, Jonas Oberhauser, and Wolfgang J. Paul. A Pipelined Multi-Core Machine with Operating System Support. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43243-0.

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8

Burns, Claudia. Easy baking: Kenmore Choice bread machine with multi-logic. Cookbook Resource USA, 1993.

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9

Saxena, Dhish Kumar, Sukrit Mittal, Kalyanmoy Deb, and Erik D. Goodman. Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-2096-9.

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10

Radzevich, Stephen P. CAD/CAM of Sculptured Surfaces on Multi-Axis NC Machine. Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-79312-7.

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11

Nguyen, Van Thanh Tien, Nhut T. M. Vo, Van Chinh Truong, and Van-Thuc Nguyen. Multi-Criteria Decision-Making and Optimum Design with Machine Learning. CRC Press, 2024. http://dx.doi.org/10.1201/9781032635170.

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12

Casola, Linda, ed. Challenges in Machine Generation of Analytic Products from Multi-Source Data. National Academies Press, 2017. http://dx.doi.org/10.17226/24900.

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13

Weiß, Gerhard, ed. Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62934-3.

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14

Jain, Vikram, and Marian Verhelst. Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-38230-7.

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15

Sun, Xian-He. Performance prediction: A case study using a multi-ring KSR-1 machine. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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16

Calderon-Guizar, J. G. Analysis and design of turbo-alternator controllers on a multi machine basis. UMIST, 1995.

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17

Gage, Randy. How to build a multi-level money machine: The science of network marketing. GR&DI Publications, 1998.

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18

Radzevich, S. P. CAD/CAM of sculptured surfaces on multi-axis NC machine: The DG/K-based approach. Morgan & Claypool Publishers, 2008.

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19

J, Coffey Timothy, and Livingston Gregory, eds. The great tween buying machine: Capturing your share of the multi-billion-dollar tween market. Dearborn Trade Publishing, 2004.

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20

Symposium, on Multi-lingual Machine Translation for Asian Languages (1995 Bangkok Thailand). Proceedings of the Symposium on Multi-lingual Machine Translation for Asian Languages (Thailand MMT '95) March 8, 1995, Bangkok, Thailand. National Electronics and Computer Technology Center, National Science and Technology Development Agency, Ministry of Science, Technology, and Environment, 1995.

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21

European Conference on Artificial Intelligence (12th 1996 Budapest, Hungary). Distributed artificial intelligence meets machine learning: Learning in multi-agent environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996, selected papers. Springer, 1997.

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22

Nanfara, Frank. The CNC workshop: A multimedia introduction to computer numerical control, version 2.0. Prentice Hall, 2002.

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23

Nanfara, Frank. The CNC workshop: A multimedia introduction to computer numerical control. Addison-Wesley, 1999.

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24

1962-, Weiss Gerhard, European Conference on Artificial Intelligence, (12th : 1996 : Budapest, Hungary), and International Conference on Multi-Agent Systems, (2nd : 1996 : Kyoto, Japan), eds. Distributed artificial intelligence meets machine learning: Learning in multi-agent environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996 : selected papers. Springer, 1997.

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25

Margineantu, Dragos D. Learning decision trees for loss minimization in multi-class problems. Oregon State University, Dept. of Computer Science, 1999.

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26

Sabourin, Conrad. Computer mediated communication: Computer conferencing, electronic mail, electronic publishing, computer interviewing, interactive text reading, group decision support systems, idea generation support systems, human machine communication, multi-media communication, hypertext, hypermedia, linguistic games : bibliography. Infolingua, 1994.

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27

Jin, Yaochu. Multi-Objective Machine Learning. Springer Berlin / Heidelberg, 2010.

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28

Jin, Yaochu. Multi-Objective Machine Learning. Springer, 2007.

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29

Schwartz, H. M. Multi-Agent Machine Learning: A Reinforcement Approach. Wiley, 2014.

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30

Schwartz, H. M. Multi-Agent Machine Learning: A Reinforcement Approach. Wiley & Sons, Incorporated, John, 2014.

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31

Schwartz, H. M. Multi-Agent Machine Learning: A Reinforcement Approach. Wiley & Sons, Limited, John, 2014.

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32

Schwartz, H. M. Multi-Agent Machine Learning: A Reinforcement Approach. Wiley & Sons, Incorporated, John, 2014.

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33

Schwartz, H. M. Multi-Agent Machine Learning: A Reinforcement Approach. Wiley & Sons, Incorporated, John, 2014.

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34

Multi-Agent Technologies and Machine Learning [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.100659.

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35

Alkhateeb, Alkhateeb. Machine Learning Methods for Multi-Omics Data Integration. Springer International Publishing AG, 2023.

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36

How to Build a Multi-Level Money Machine. Prime Concepts Group Inc, 2001.

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37

How to Build a Multi Level Money Machine. Manjul Publishing House Pvt Ltd, 2006.

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38

Vandaele, Nico. The impact of lot sizing on queueing delays: Multi product, multi machine models. 1996.

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39

Goodman, Erik D., and Sukrit Mittal. Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization. Springer, 2023.

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40

Ozsahin, Dilber Uzun, and Ilker Ozsahin. Applied Machine Learning and Multi-Criteria Decision-making in Healthcare. Bentham Science Publishers, 2021.

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41

Ozsahin, Ilker, and Dilber Uzun Ozsahin, eds. Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare. BENTHAM SCIENCE PUBLISHERS, 2021. http://dx.doi.org/10.2174/97816810887161210101.

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42

Manuel Alejandro Saldana De Fuentes. A parallel programming model for a multi-FPGA multiprocessor machine. 2006.

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43

Dilber, Ilker Ozsahin;. Applied Machine Learning and Multi-Criteria Decision-making in Healthcare. Bentham Science Publishers, 2021.

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44

Dilber, Ilker Ozsahin;. Applied Machine Learning and Multi-Criteria Decision-making in Healthcare. Bentham Science Publishers, 2021.

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45

Müller, Silvia M., Mikhail Kovalev, and Wolfgang J. Paul. Pipelined Multi-Core MIPS Machine: Hardware Implementation and Correctness Proof. Springer London, Limited, 2014.

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46

Radzevich, Stephen. CAD/CAM of Sculptured Surfaces on Multi-Axis NC Machine. Springer International Publishing AG, 2008.

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47

Müller, Silvia M., Mikhail Kovalev, and Wolfgang J. Paul. A Pipelined Multi-core MIPS Machine: Hardware Implementation and Correctness Proof. Springer, 2014.

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48

Mutant Monkees Meet the Masters of the Multi-Media Manipulation Machine! Click Pub, 1992.

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49

Jones, Davy. Mutant Monkees Meet the Masters of the Multi-Media Manipulation Machine! Samuel French Trade, 1992.

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50

Garcia, Fausto Pedro. Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning. IGI Global, 2019.

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