書名 | 作者 | 出版年 | 查看 | 回報錯誤連結 |
Handbook of research on machine learning innovations and trends |
Aboul Ella Hassanien and Tarek Gaber, editors. |
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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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Machine learning:ECML-98 : 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998 : proceedings / |
Claire Nedellec, Celine Rouveirol (eds.). |
1998 |
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Machine learning:ECML 2000 : 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000 : proceedings / |
Ramon Lopez de Mantaras, Enric Plaza (eds.). |
2000 |
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Machine learning:ECML 2001 : 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001 : proceedings / |
Luc De Raedt, Peter Flach (eds.). |
2001 |
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Beginning deep learning with TensorFlow :work with Keras, MNIST data sets, and advanced neural networks / |
Liangqu Long, Xiangming Zeng. |
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Interpreting machine learning models :learn model interpretability and explainability methods / |
Anirban Nandi, Aditya Kumar Pal. |
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Privacy-preserving machine learning / |
Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li. |
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Graph-based semi-supervised learning |
Amarnag Subramanya, Partha Pratim Talukdar. |
2014 |
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Machine learning paradigms :advances in deep learning-based technological applications / |
George A. Tsihrintzis, Lakhmi C. Jain. |
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Advances in machine learning/deep learning-based technologies :selected papers in honour of Professor Nikolaos G. Bourbakis. |
George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain. |
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Federated learning :a comprehensive overview of methods and applications / |
Heiko Ludwig, Nathalie Baracaldo. |
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Federated learning :fundamentals and advances / |
Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen. |
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Practical machine learning illustrated with KNIME / |
Yu Geng, Qin Li, Geng Yang, Wan Qiu. |
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Practical machine learning illustrated with KNIME / |
Yu Geng, Qin Li, Geng Yang, Wan Qiu. |
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Machine learning for real world applications / |
Dinesh K. Sharma, H. S. Hota, Aaron Rasheed Rababaah. |
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