著者
書誌事項
Synthesis lectures on artificial intelligence and machine learning
Morgan & Claypool
この図書・雑誌をさがす
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1
- Toward robots that reason : logic, probability & causal laws
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Vaishak Belle
Springer c2023 Synthesis lectures on artificial intelligence and machine learning , Synthesis collection of technology
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2
- Federated learning
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Qiang Yang ... [et al.]
Springer c2022 Synthesis lectures on artificial intelligence and machine learning #43 , Synthesis collection of technology
: pbk
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3
- Statistical relational artificial intelligence : logic, probability, and computation
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Luc De Raedt ... [et al.]
Springer c2022 Synthesis lectures on artificial intelligence and machine learning #32 , Synthesis collection of technology
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4
- Introduction to graph neural networks
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Zhiyuan Liu and Jie Zhou
Springer c2022 Synthesis lectures on artificial intelligence and machine learning #45 , Synthesis collection of technology
: pbk.
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5
- Markov logic : an interface layer for artificial intelligence
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Pedro Domingos and Daniel Lowd ; with contributions from Jesse Davis ... [et al.]
Springer c2022 Synthesis lectures on artificial intelligence and machine learning #7 , Synthesis collection of technology
: pbk.
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6
- Applying reinforcement learning on real-world data with practical examples in Python
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Philip Osborne, Kajal Singh, Matthew E. Taylor
Morgan & Claypool c2022 Synthesis lectures on artificial intelligence and machine learning #52
: pbk
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7
- Transfer learning for multiagent reinforcement learning systems
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Felipe Leno da Silva, Anna Helena Reali Costa
Morgan & Claypool c2021 Synthesis lectures on artificial intelligence and machine learning #49
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8
- Transfer learning for multiagent reinforcement learning systems
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Felipe Leno da Silva, Anna Helena Reali Costa
Morgan & Claypool c2021 Synthesis lectures on artificial intelligence and machine learning #49
: pbk
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9
- Graph representation learning
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William L. Hamilton
Morgan & Claypool c2020 Synthesis lectures on artificial intelligence and machine learning #46
:hardcover
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10
- Introduction to graph neural networks
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Zhiyuan Liu and Jie Zhou
Morgan & Claypool c2020 Synthesis lectures on artificial intelligence and machine learning #45
所蔵館2館
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11
- Graph representation learning
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William L. Hamilton
Morgan & Claypool c2020 Synthesis lectures on artificial intelligence and machine learning #46
: pbk
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12
- Introduction to graph neural networks
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Zhiyuan Liu and Jie Zhou
Morgan & Claypool c2020 Synthesis lectures on artificial intelligence and machine learning #45
: pbk
所蔵館2館
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13
- Lifelong machine learning
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Zhiyuan Chen, Bing Liu
Morgan & Claypool c2018 2nd ed Synthesis lectures on artificial intelligence and machine learning #38
: pbk
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14
- Lifelong machine learning
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Zhiyuan Chen, Bing Liu
Morgan & Claypool c2018 2nd ed Synthesis lectures on artificial intelligence and machine learning #38
: hardcover
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15
- Adversarial machine learning
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Yevgeniy Vorobeychik, Murat Kantarcioglu
Morgan & Claypool c2018 Synthesis lectures on artificial intelligence and machine learning #38 , A publication in the Morgan & Claypool publishers' series
: hardcover , : paperback
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16
- Game theory for data science : eliciting truthful information
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Boi Faltings, Goran Radanovic
Morgan & Claypool c2017 Synthesis lectures on artificial intelligence and machine learning #35
: pbk
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17
- Metric learning
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Aurélien Bellet, Amaury Habrard, Marc Sebbam
Morgan & Claypool c2015 Synthesis lectures on artificial intelligence and machine learning #30
: pbk
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18
- Graph-based semi-supervised learning
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Amarnag Subramanya, Partha Pratim Talukdar
Morgan & Claypool c2014 Synthesis lectures on artificial intelligence and machine learning #29
: pbk
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19
- An introduction to constraint-based temporal reasoning
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Roman Barták, Robert A. Morris, K. Brent Venable
Morgan & Claypool c2014 Synthesis lectures on artificial intelligence and machine learning #26
: pbk
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20
- Judgment aggregation : a primer
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Davide Grossi, Gabriella Pigozzi
Morgan & Claypool c2014 Synthesis lectures on artificial intelligence and machine learning #27
: pbk
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