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bernhard pfahringer (149 risultati)
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Machine Learning for Data Streams
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Machine Learning for Data Streams
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Machine Learning for Data Streams
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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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Machine Learning for Data Streams : With Practical Examples in Moa
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Machine Learning for Data Streams : With Practical Examples in Moa
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Machine Learning for Data Streams
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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)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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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)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Inductive Logic Programming : 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings
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Inductive Logic Programming: 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings (Lecture Notes in Computer Science)
Da: Chiron Media, Wallingford, Regno Unito
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AI 2015: Advances in Artificial Intelligence : 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedi
Da: Chiron Media, Wallingford, Regno Unito
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Inductive Logic Programming : 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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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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Machine Learning for Data Streams: with Practical Examples in MOA (Adaptive Computation and Machine Learning series)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Inductive Logic Programming
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 448.
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Machine Learning and Knowledge Discovery in Databases Research Track (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Machine Learning for Data Streams : With Practical Examples in Moa
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Ai 2015 - Advances in Artificial Intelligence : 28th Australasian Joint Conference, Canberra, Australia, November 30 -- December 4, 2015, Proceedings
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Machine Learning for Data Streams : With Practical Examples in Moa
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Ai 2015 Advances in Artificial Intelli (Lecture Notes in Computer Science)
Da: Books Puddle, New York, NY, U.S.A.
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Ai 2015 - Advances in Artificial Intelligence : 28th Australasian Joint Conference, Canberra, Australia, November 30 -- December 4, 2015, Proceedings
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part IV
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 303206077X ISBN 13: 9783032060778
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: 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 (eng)
Da: Brook Bookstore, Milano, MI, Italia
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 96,11
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Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032059801 ISBN 13: 9783032059802
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: 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 and Applied Data Science Track (Paperback)
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2025
ISBN 10: 3662722429 ISBN 13: 9783662722428
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: 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.
-
Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032060656 ISBN 13: 9783032060655
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: 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.
-
Machine Learning and Knowledge Discovery in Databases. Research Track (Paperback)
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032059615 ISBN 13: 9783032059611
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: 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.
