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Author: Sergio Bittanti
Publisher: Springer Science & Business Media
ISBN: 9783540610809
Category : Computers
Languages : en
Pages : 592
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Book Description
This book collects the lectures given at the NATO Advanced Study Institute From Identijication to Learning held in Villa Olmo, Como, Italy, from August 22 to September 2, 1994. The school was devoted to the themes of Identijication, Adaptation and Learning, as they are currently understood in the Information and Contral engineering community, their development in the last few decades, their inter connections and their applications. These titles describe challenging, exciting and rapidly growing research areas which are of interest both to contral and communication engineers and to statisticians and computer scientists. In accordance with the general goals of the Institute, and notwithstanding the rat her advanced level of the topics discussed, the presentations have been generally kept at a fairly tutorial level. For this reason this book should be valuable to a variety of rearchers and to graduate students interested in the general area of Control, Signals and Information Pracessing. As the goal of the school was to explore a common methodologicalline of reading the issues, the flavor is quite interdisciplinary. We regard this as an original and valuable feature of this book.
Author: Sergio Bittanti
Publisher: Springer Science & Business Media
ISBN: 9783540610809
Category : Computers
Languages : en
Pages : 592
Get Book Here
Book Description
This book collects the lectures given at the NATO Advanced Study Institute From Identijication to Learning held in Villa Olmo, Como, Italy, from August 22 to September 2, 1994. The school was devoted to the themes of Identijication, Adaptation and Learning, as they are currently understood in the Information and Contral engineering community, their development in the last few decades, their inter connections and their applications. These titles describe challenging, exciting and rapidly growing research areas which are of interest both to contral and communication engineers and to statisticians and computer scientists. In accordance with the general goals of the Institute, and notwithstanding the rat her advanced level of the topics discussed, the presentations have been generally kept at a fairly tutorial level. For this reason this book should be valuable to a variety of rearchers and to graduate students interested in the general area of Control, Signals and Information Pracessing. As the goal of the school was to explore a common methodologicalline of reading the issues, the flavor is quite interdisciplinary. We regard this as an original and valuable feature of this book.
Author: Anthony S. Bryk
Publisher: Harvard Education Press
ISBN: 161250793X
Category : Education
Languages : en
Pages : 309
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Book Description
As a field, education has largely failed to learn from experience. Time after time, promising education reforms fall short of their goals and are abandoned as other promising ideas take their place. In Learning to Improve, the authors argue for a new approach. Rather than “implementing fast and learning slow,” they believe educators should adopt a more rigorous approach to improvement that allows the field to “learn fast to implement well.” Using ideas borrowed from improvement science, the authors show how a process of disciplined inquiry can be combined with the use of networks to identify, adapt, and successfully scale up promising interventions in education. Organized around six core principles, the book shows how “networked improvement communities” can bring together researchers and practitioners to accelerate learning in key areas of education. Examples include efforts to address the high rates of failure among students in community college remedial math courses and strategies for improving feedback to novice teachers. Learning to Improve offers a new paradigm for research and development in education that promises to be a powerful driver of improvement for the nation’s schools and colleges.
Author: Masashi Sugiyama
Publisher: MIT Press
ISBN: 0262300435
Category : Computers
Languages : en
Pages : 279
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Book Description
Theory, algorithms, and applications of machine learning techniques to overcome “covariate shift” non-stationarity. As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robot control, and bioinformatics, often violate this common assumption. Dealing with non-stationarity is one of modern machine learning's greatest challenges. This book focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) change but the conditional distribution of outputs (answers) is unchanged, and presents machine learning theory, algorithms, and applications to overcome this variety of non-stationarity. After reviewing the state-of-the-art research in the field, the authors discuss topics that include learning under covariate shift, model selection, importance estimation, and active learning. They describe such real world applications of covariate shift adaption as brain-computer interface, speaker identification, and age prediction from facial images. With this book, they aim to encourage future research in machine learning, statistics, and engineering that strives to create truly autonomous learning machines able to learn under non-stationarity.
Author: Thanasis Daradoumis
Publisher: Springer
ISBN: 3642285864
Category : Technology & Engineering
Languages : en
Pages : 344
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Book Description
Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.
Author: Andrea Vedaldi
Publisher: Springer Nature
ISBN: 3030585557
Category : Computers
Languages : en
Pages : 836
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Book Description
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Author: Chiong, Raymond
Publisher: IGI Global
ISBN: 1605667994
Category : Business & Economics
Languages : en
Pages : 359
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Book Description
"This volume offers intriguing applications, reviews and additions to the methodology of intelligent computing, presenting the emerging trends of state-of-the-art intelligent systems and their practical applications"--Provided by publisher.
Author:
Publisher: DIANE Publishing
ISBN: 1428926879
Category : Ecology
Languages : en
Pages : 178
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Book Description
Author: Tsypkin
Publisher: Academic Press
ISBN: 0080955827
Category : Mathematics
Languages : en
Pages : 317
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Book Description
Adaptation and Learning in Automatic Systems
Author: Abdelhamid Bouchachia
Publisher: Springer
ISBN: 3642238572
Category : Computers
Languages : en
Pages : 441
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Book Description
This book constitutes the proceedings of the International Conference on Adaptive and Intelligent Systems, ICAIS 2011, held in Klagenfurt, Austria, in September 2011. The 36 full papers included in these proceedings together with the abstracts of 4 invited talks, were carefully reviewed and selected from 72 submissions. The contributions are organized under the following topical sections: incremental learning; adaptive system architecture; intelligent system engineering; data mining and pattern recognition; intelligent agents; and computational intelligence.
Author: Dominic Stucker
Publisher: Routledge
ISBN: 113620038X
Category : Social Science
Languages : en
Pages : 480
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Book Description
The impacts of human-induced climate change are largely mediated by water, such as alterations in precipitation and glacial melt patterns, variations in river flow, increased occurrence of droughts and floods, and sea level rise in densely populated coastal areas. Such phenomena impact both urban and rural communities in developed, emerging, and developing countries. Taking a systems approach, this book analyzes evidence from 26 countries and identifies common barriers and bridges for local adaptation to climate change through water resources management. It includes a global set of case studies from places experiencing increased environmental and social pressure due to population growth, development and migration, including in Africa, Asia, Australia, Europe, North and South America. All chapters consider the crosscutting themes of adaptive capacity, equity, and sustainability. These point to resilient water allocation policies and practices that are capable of protecting social and environmental interests, whilst ensuring the efficient use of an often-scarce resource.
