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Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 669

Machine Learning and Knowledge Discovery in Databases

The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge grap...

ECAI 2006
  • Language: en
  • Pages: 896

ECAI 2006

  • Type: Book
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  • Published: 2006
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  • Publisher: IOS Press

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ECAI 2006
  • Language: en
  • Pages: 892

ECAI 2006

  • Type: Book
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  • Published: 2006-08-10
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  • Publisher: IOS Press

In the summer of 1956, John McCarthy organized the famous Dartmouth Conference which is now commonly viewed as the founding event for the field of Artificial Intelligence. During the last 50 years, AI has seen a tremendous development and is now a well-established scientific discipline all over the world. Also in Europe AI is in excellent shape, as witnessed by the large number of high quality papers in this publication. In comparison with ECAI 2004, there’s a strong increase in the relative number of submissions from Distributed AI / Agents and Cognitive Modelling. Knowledge Representation & Reasoning is traditionally strong in Europe and remains the biggest area of ECAI-06. One reason the figures for Case-Based Reasoning are rather low is that much of the high quality work in this area has found its way into prestigious applications and is thus represented under the heading of PAIS.

Advances in Neural Information Processing Systems 15
  • Language: en
  • Pages: 1738

Advances in Neural Information Processing Systems 15

  • Type: Book
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  • Published: 2003
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  • Publisher: MIT Press

Proceedings of the 2002 Neural Information Processing Systems Conference.

Interaction Techniques and Technologies in Human-Computer Interaction
  • Language: en
  • Pages: 465

Interaction Techniques and Technologies in Human-Computer Interaction

  • Type: Book
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  • Published: 2024-08-30
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  • Publisher: CRC Press

This book offers a thorough exploration of interaction design by examining various technologies, interaction techniques, styles, and devices. This book • Assists readers in acquiring a deep understanding of diverse ways humans interact with computer technologies and in selecting the most suitable approach for various interactive scenarios. • Introduces cutting‐edge interaction techniques, including multimodal and gesture‐based interaction, wearables, haptic, speech and sound‐based interaction, embodied interaction, and more. • Advances beyond traditional interfaces to large and multiscreen interactions, proxemics, brain‐computer interfaces, affective computing and Extended Reality. This book will appeal to individuals interested in Human-Computer Interaction research and applications.

Human-Computer Interaction
  • Language: en
  • Pages: 2935

Human-Computer Interaction

  • Type: Book
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  • Published: 2024-09-28
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  • Publisher: CRC Press

The pervasive influence of technology continuously shapes our daily lives. From smartphones to smart homes, technology is revolutionizing the way we live, work and interact with each other. Human-computer interaction (HCI) is a multidisciplinary research field focusing on the study of people interacting with information technology and plays a critical role in the development of computing systems that work well for the people using them, ensuring the seamless integration of interactive systems into our technologically driven lifestyles. The book series contains six volumes providing extensive coverage of the field, wherein each one addresses different theoretical and practical aspects of the ...

Advances in Neural Information Processing Systems 17
  • Language: en
  • Pages: 1710

Advances in Neural Information Processing Systems 17

  • Type: Book
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  • Published: 2005
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  • Publisher: MIT Press

Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 780

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2009-08-28
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  • Publisher: Springer

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Machine Learning in Medical Imaging
  • Language: en
  • Pages: 711

Machine Learning in Medical Imaging

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.