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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Machine Learning for Data Streams
Language: English
Published by The MIT Press Bookstore, 2018
ISBN 10: 0262037793 ISBN 13: 9780262037792
Condition: New.
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Machine Learning for Data Streams
Language: English
Published by The MIT Press Bookstore, 2018
ISBN 10: 0262037793 ISBN 13: 9780262037792
Condition: New.
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Machine Learning for Data Streams
Language: English
Published by The MIT Press Bookstore, 2018
ISBN 10: 0262037793 ISBN 13: 9780262037792
Condition: New.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Inductive Logic Programming: 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings (Lecture Notes in Computer Science, 3625)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 67.61
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US$ 67.74
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Machine Learning for Data Streams
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings (Lecture Notes in Artificial Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Ai 2015 - Advances in Artificial Intelligence : 28th Australasian Joint Conference, Canberra, Australia, November 30 -- December 4, 2015, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Inductive Logic Programming : 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings
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Condition: New. pp. 448.
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Machine Learning for Data Streams : With Practical Examples in Moa
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Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 303206077X ISBN 13: 9783032060778
Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ai 2015 - Advances in Artificial Intelligence : 28th Australasian Joint Conference, Canberra, Australia, November 30 -- December 4, 2015, Proceedings
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Condition: New. pp. 644.
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Machine Learning for Data Streams : With Practical Examples in Moa
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032061059 ISBN 13: 9783032061058
Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032061083 ISBN 13: 9783032061089
Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032059801 ISBN 13: 9783032059802
Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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