書名 | 作者 | 出版年 | 查看 | 回報錯誤連結 |
Machine learning and knowledge discovery in databases:European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016 : proceedings. |
Bettina Berendt ... [et al.]. |
2016 |
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Machine learning and knowledge discovery in databases:European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016 : proceedings. |
Paolo Frasconi ... [et al.]. |
2016 |
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Measures of complexity:festschrift for Alexey Chervonenkis / |
Vladimir Vovk, Harris Papadopoulos, Alexander Gammerman. |
2015 |
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Inspired by nature:essays presented to Julian F. Miller on the occasion of his 60th birthday / |
Susan Stepney, Andrew Adamatzky. |
2018 |
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Multiple instance learning:foundations and algorithms / |
Francisco Herrera ... [et al.]. |
2016 |
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Machine learning, optimization, and big data:second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016 : revised selected papers / |
Panos M. Pardalos ... [et al.]. |
2016 |
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Machine learning for cyber physical systems:selected papers from the International Conference ML4CPS 2016 / |
Jurgen Beyerer, Oliver Niggemann, Christian Kuhnert. |
2017 |
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Twin support vector machines:models, extensions and applications / |
Jayadeva, Reshma Khemchandani, Suresh Chandra. |
2017 |
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MATLAB machine learning |
Michael Paluszek, Stephanie Thomas. |
2017 |
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Machine learning using R |
Karthik Ramasubramanian, Abhishek Singh. |
2017 |
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Machine learning and intelligent communications:first International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers / |
Huang Xin-lin. |
2017 |
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Machine learning contests :a guidebook / |
Wang He, Peng Liu, Qian Qian. |
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Machine learning and intelligent communications:first International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers / |
Huang Xin-lin. |
2017 |
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Reverse hypothesis machine learning:a practitioner's perspective / |
Parag Kulkarni. |
2017 |
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Machine learning in Python:essential techniques for predictive analysis / |
Michael Bowles. |
2015 |
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Multiple classifier systems ::12th International Workshop, MCS 2015, Gunzburg, Germany, June 29 - July 1, 2015 : proceedings / |
Friedhelm Schwenker, Fabio Roli, Josef Kittler. |
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Machine learning for audio, image and video analysis ::theory and applications / |
Francesco Camastra, Alessandro Vinciarelli. |
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Machine learning projects for .NET Developers / |
Mathias Brandewinder. |
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Machine learning and knowledge discovery in databases ::European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings. |
Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou. |
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Progress in Artificial Intelligence ::17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015 : proceedings / |
Francisco Pereira, Penousal Machado, Ernesto Costa, Amilcar Cardoso. |
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Machine learning and knowledge discovery in databases ::European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings. |
Annalisa Appice, Pedro Pereira Rodrigues, Vitor Santos Costa, Joao Gama, Alipio Jorge, Carlos Soares. |
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Machine learning and knowledge discovery in databases ::European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings. |
Annalisa Appice, Pedro Pereira Rodrigues, Vitor Santos Costa, Carlos Soares, Joao Gama, Alipio Jorge. |
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Machine learning refined :foundations, algorithms, and applications / |
Jeremy Watt, Reza Borhani, and Aggelos K. Katsaggelos. |
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Understanding machine learning :from theory to algorithms / |
Shai Shalev-Shwartz, Shai Ben-David. |
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Computational intelligence, evolutionary computing and evolutionary clustering algorithms |
authored by Terje Kristensen. |
2016 |
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Learning from data streams in evolving environments :methods and applications / |
Moamar Sayed-Mouchaweh. |
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Applying machine learning for automated classification of biomedical data in subject-independent settings / |
Thuy T. Pham. |
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Recent developments in machine learning and data analytics :IC3 2018 / |
Jugal Kalita, Valentina Emilia Balas, Samarjeet Borah, Ratika Pradhan. |
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The executive's how-to guide to automation :mastering AI and algorithm-driven business / |
George E. Danner. |
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Multiview machine learning / |
Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu. |
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Genetic programming theory and practice XVI / |
Wolfgang Banzhaf, Lee Spector, Leigh Sheneman. |
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