machine learning principles practice (38 Ergebnisse)

Zustand: New. In.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Zustand: New. In.

Zustand: New. This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, .

Taschenbuch. Zustand: Neu. Neuware -This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19¿23, 2022.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19-23, 2022.The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops:Workshop on Data Science for Social Good (SoGood 2022)Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)Workshop on Uplift Modeling (UMOD 2022)Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)Workshop on Mining Data for Financial Application (MIDAS 2022)Workshop on Machine Learning for Cybersecurity (MLCS 2022)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)Workshop on Data Analysis in Life Science (DALS 2022)Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).

Taschenbuch. Zustand: Neu. Neuware -The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society;Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 - 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns;Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing;Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 532 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society;Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 - 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns;Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing;Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch.

Paperback. Zustand: Brand New. 506 pages. 9.25x6.10x1.02 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial;BIAS 2023 - 3rd Workshop on Bias and Fairness in AI;Biased Data in Conversational Agents;Explainable Artificial Intelligence: From Static to Dynamic;ML, Law and Society;Part II:RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education;SoGood 2023 - 8th Workshop on Data Science for Social Good;Towards Hybrid Human-Machine Learning and Decision Making (HLDM);Uncertainty meets explainability in machine learning;Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III:XAI-TS: Explainable AI for Time Series: Advances and Applications;XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining;Deep Learning for Sustainable Precision Agriculture;Knowledge Guided Machine Learning;MACLEAN: MAChine Learning for EArth ObservatioN;MLG: Mining and Learning with Graphs;Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences;New Frontiers in Mining Complex Patterns;Part IV:PharML, Machine Learning for Pharma and Healthcare Applications;Simplification, Compression, Efficiency and Frugality for Artificial intelligence;Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making;6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL);Adapting to Change: Reliable Multimodal Learning Across Domains;AI4M: AI for Manufacturing;Part V:Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications;Deep learning meets Neuromorphic Hardware;Discovery challenge;ITEM: IoT, Edge, and Mobile for Embedded Machine Learning;LIMBO - LearnIng and Mining for BlOckchains;Machine Learning for Cybersecurity (MLCS 2023);MIDAS - The 8th Workshop on MIning DAta for financial applicationS;Workshop on Advancements in Federated Learning.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial;BIAS 2023 - 3rd Workshop on Bias and Fairness in AI;Biased Data in Conversational Agents;Explainable Artificial Intelligence: From Static to Dynamic;ML, Law and Society;Part II:RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education;SoGood 2023 - 8th Workshop on Data Science for Social Good;Towards Hybrid Human-Machine Learning and Decision Making (HLDM);Uncertainty meets explainability in machine learning;Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III:XAI-TS: Explainable AI for Time Series: Advances and Applications;XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining;Deep Learning for Sustainable Precision Agriculture;Knowledge Guided Machine Learning;MACLEAN: MAChine Learning for EArth ObservatioN;MLG: Mining and Learning with Graphs;Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences;New Frontiers in Mining Complex Patterns;Part IV:PharML, Machine Learning for Pharma and Healthcare Applications;Simplification, Compression, Efficiency and Frugality for Artificial intelligence;Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making;6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL);Adapting to Change: Reliable Multimodal Learning Across Domains;AI4M: AI for Manufacturing;Part V:Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications;Deep learning meets Neuromorphic Hardware;Discovery challenge;ITEM: IoT, Edge, and Mobile for Embedded Machine Learning;LIMBO - LearnIng and Mining for BlOckchains;Machine Learning for Cybersecurity (MLCS 2023);MIDAS - The 8th Workshop on MIning DAta for financial applicationS;Workshop on Advancements in Federated Learning.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial;BIAS 2023 - 3rd Workshop on Bias and Fairness in AI;Biased Data in Conversational Agents;Explainable Artificial Intelligence: From Static to Dynamic;ML, Law and Society;Part II:RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education;SoGood 2023 - 8th Workshop on Data Science for Social Good;Towards Hybrid Human-Machine Learning and Decision Making (HLDM);Uncertainty meets explainability in machine learning;Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III:XAI-TS: Explainable AI for Time Series: Advances and Applications;XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining;Deep Learning for Sustainable Precision Agriculture;Knowledge Guided Machine Learning;MACLEAN: MAChine Learning for EArth ObservatioN;MLG: Mining and Learning with Graphs;Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences;New Frontiers in Mining Complex Patterns;Part IV:PharML, Machine Learning for Pharma and Healthcare Applications;Simplification, Compression, Efficiency and Frugality for Artificial intelligence;Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making;6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL);Adapting to Change: Reliable Multimodal Learning Across Domains;AI4M: AI for Manufacturing;Part V:Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications;Deep learning meets Neuromorphic Hardware;Discovery challenge;ITEM: IoT, Edge, and Mobile for Embedded Machine Learning;LIMBO - LearnIng and Mining for BlOckchains;Machine Learning for Cybersecurity (MLCS 2023);MIDAS - The 8th Workshop on MIning DAta for financial applicationS;Workshop on Advancements in Federated Learning.

Taschenbuch. Zustand: Neu. Neuware -The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society;Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 - 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns;Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing;Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 612 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society;Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 - 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns;Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing;Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 564 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 612 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online.The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops.This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021).

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial;BIAS 2023 - 3rd Workshop on Bias and Fairness in AI;Biased Data in Conversational Agents;Explainable Artificial Intelligence: From Static to Dynamic;ML, Law and Society;Part II:RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education;SoGood 2023 - 8th Workshop on Data Science for Social Good;Towards Hybrid Human-Machine Learning and Decision Making (HLDM);Uncertainty meets explainability in machine learning;Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III:XAI-TS: Explainable AI for Time Series: Advances and Applications;XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining;Deep Learning for Sustainable Precision Agriculture;Knowledge Guided Machine Learning;MACLEAN: MAChine Learning for EArth ObservatioN;MLG: Mining and Learning with Graphs;Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences;New Frontiers in Mining Complex Patterns;Part IV:PharML, Machine Learning for Pharma and Healthcare Applications;Simplification, Compression, Efficiency and Frugality for Artificial intelligence;Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making;6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL);Adapting to Change: Reliable Multimodal Learning Across Domains;AI4M: AI for Manufacturing;Part V:Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications;Deep learning meets Neuromorphic Hardware;Discovery challenge;ITEM: IoT, Edge, and Mobile for Embedded Machine Learning;LIMBO - LearnIng and Mining for BlOckchains;Machine Learning for Cybersecurity (MLCS 2023);MIDAS - The 8th Workshop on MIning DAta for financial applicationS;Workshop on Advancements in Federated Learning.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial;BIAS 2023 - 3rd Workshop on Bias and Fairness in AI;Biased Data in Conversational Agents;Explainable Artificial Intelligence: From Static to Dynamic;ML, Law and Society;Part II:RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education;SoGood 2023 - 8th Workshop on Data Science for Social Good;Towards Hybrid Human-Machine Learning and Decision Making (HLDM);Uncertainty meets explainability in machine learning;Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III:XAI-TS: Explainable AI for Time Series: Advances and Applications;XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining;Deep Learning for Sustainable Precision Agriculture;Knowledge Guided Machine Learning;MACLEAN: MAChine Learning for EArth ObservatioN;MLG: Mining and Learning with Graphs;Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences;New Frontiers in Mining Complex Patterns;Part IV:PharML, Machine Learning for Pharma and Healthcare Applications;Simplification, Compression, Efficiency and Frugality for Artificial intelligence;Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making;6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL);Adapting to Change: Reliable Multimodal Learning Across Domains;AI4M: AI for Manufacturing;Part V:Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications;Deep learning meets Neuromorphic Hardware;Discovery challenge;ITEM: IoT, Edge, and Mobile for Embedded Machine Learning;LIMBO - LearnIng and Mining for BlOckchains;Machine Learning for Cybersecurity (MLCS 2023);MIDAS - The 8th Workshop on MIning DAta for financial applicationS;Workshop on Advancements in Federated Learning.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.

Paperback. Zustand: Brand New. 508 pages. 9.25x6.10x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 528 pages. 9.25x6.10x9.24 inches. In Stock.

Paperback. Zustand: Brand New. 560 pages. 9.25x6.10x9.21 inches. In Stock.