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Analytics, Policy, and Governance
  • Language: en
  • Pages: 272

Analytics, Policy, and Governance

Cover -- Half-title -- Title -- Copyright -- Contents -- Introduction -- PART I: ENGAGING THE DATA -- 1 Measuring Political and Policy Preferences Using Item Response Scaling -- 2 Causal Inference with Observational Data -- 3 Causal Inference with Experimental Data -- PART II: EMERGING DATA SOURCES AND TECHNIQUES -- 4 Descriptive Network Analysis: Interest Group Lobbying Dynamics Around Immigration Policy -- 5 Learning from Place in the Era of Geolocation -- 6 Text Analysis: Estimating Policy Preferences from Written and Spoken Words -- 7 Machine Learning and Governance -- PART III: IMPLICATIONS FOR GOVERNANCE -- 8 Governing a Data-Driven Society -- 9 Big Data and Privacy -- 10 Reflections on Analytics: Knowledge and Power -- List of Contributors -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y

Machine Learning and Knowledge Discovery in Databases: Research Track
  • Language: en
  • Pages: 754

Machine Learning and Knowledge Discovery in Databases: Research Track

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models;...

Procedures Manual
  • Language: en
  • Pages: 224

Procedures Manual

  • Type: Book
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  • Published: 1988
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  • Publisher: Unknown

None

Modernity of Religiosities and Beliefs
  • Language: en
  • Pages: 375

Modernity of Religiosities and Beliefs

Modernity of Religiosities and Beliefs: A New Path in Latin America From the Nineteenth to Twenty-First Century synthesizes new research on various phenomena related to religions and beliefs in Latin America. The contributors provide comprehensive analytical interpretations of Latin American spheres of religious ideas and worldviews and show that they are a key element to understanding the history of the region. Overall, this book gives an account of the whole spectrum of religious phenomena in Latin American societies, providing a “global” interpretation that will contribute to the study of political, economic, and cultural modernities in Latin America.

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 770

Machine Learning and Knowledge Discovery in Databases

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and ...

Federated Learning
  • Language: en
  • Pages: 436

Federated Learning

  • Type: Book
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  • Published: 2024-02-09
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  • Publisher: Elsevier

Federated Learning: Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges, covering various aspects of communicati on effi ciency, theoretical convergence, and security. Part II featuresemerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service. Part III concludes the book with a wide array of industrial applicati ons of federated learning, as well as ethical considerations, showcasing its immense potential for dri...

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
  • Language: en
  • Pages: 608

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and ...

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track
  • Language: en
  • Pages: 429

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models;...

Machine Learning and Knowledge Discovery in Databases. Research Track
  • Language: en
  • Pages: 513

Machine Learning and Knowledge Discovery in Databases. Research Track

None

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
  • Language: en
  • Pages: 517