| 書名 | 作者 | 出版年 | 查看 | 回報錯誤連結 |
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| Next-generation wireless networks meet advanced machine learning applications |
Ioan-Sorin Comsa and Ramona Trestian, editors. |
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| Machine learning and cognitive science applications in cyber security |
Muhammad Salman Khan. |
2019 |
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回報問題連結 |
| Deep learning innovations and their convergence with big data |
S. Karthik, Anand Paul, and N. Karthikeyan, editors. |
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回報問題連結 |
| A practical approach for machine learning and deep learning algorithms:tools and techniques using MATLAB and Python / |
Abhishek Kumar Pandey, Pramod Singh Rathore, S. Balamurugan. |
2019 |
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| Financial signal processing and machine learning / |
Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry Malioutov. |
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回報問題連結 |
| Handbook of research on machine learning innovations and trends |
Aboul Ella Hassanien and Tarek Gaber, editors. |
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| Introduction to statistical machine learning / |
Masashi Sugiyama. |
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| Deep learning:a comprehensive guide / |
Shriram K. Vasudevan, Sini Raj Pulari, Subashri Vasudevan. |
2022 |
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回報問題連結 |
| Deep learning with relational logic representations |
Gustav ?ír. |
2022 |
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| Conformal prediction for reliable machine learning:theory, adaptations, and applications / |
[edited by] Vineeth N. Balasubramanian, Shen-Shyang Ho, Vladimir Vovk. |
2014 |
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| Quantum machine learning:what quantum computing means to data mining / |
Peter Wittek, University of Boras, Sweden. |
2014 |
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| Introduction to statistical relational learning |
Lise Getoor, Ben Taskar. |
2007 |
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| Predicting structured data |
Gökhan Bak羨 ... [et al.]. |
2007 |
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| Kernel methods for pattern analysis |
John Shawe-Taylor, Nello Cristianini. |
2004 |
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| Learning theory:an approximation theory viewpoint / |
Felipe Cucker, Ding-Xuan Zhou. |
2007 |
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| Handbook of research on machine learning applications and trends:algorithms, methods, and techniques / |
[edited by] Emilio Soria Olivas ... [et al.]. |
2010 |
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