The Roles of Similarity in Transfer PDF Download
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Author: Dedre Gentner
Publisher:
ISBN:
Category :
Languages : en
Pages : 49
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Book Description
Author: Dedre Gentner
Publisher:
ISBN:
Category :
Languages : en
Pages : 49
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Book Description
Author: Joel Greenspoon
Publisher:
ISBN:
Category :
Languages : en
Pages : 68
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Book Description
Author: Celestine Myers
Publisher:
ISBN:
Category : Learning, Psychology of
Languages : en
Pages :
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Book Description
Author: Danny D. Steinberg
Publisher:
ISBN:
Category : Similarity (Psychology)
Languages : en
Pages : 90
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Book Description
Author: Qiang Yang
Publisher: Cambridge University Press
ISBN: 1108860087
Category : Computers
Languages : en
Pages : 394
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Book Description
Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.
Author: Stephen C. Pepper
Publisher: Univ of California Press
ISBN: 0520341864
Category : Philosophy
Languages : en
Pages : 367
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Book Description
"World hypotheses" correspond to metaphysical systems, and they may be systematically judged by the canons of evidence and corroboration. In setting forth his root-metaphor theory and examining six such hypotheses—animism, mysticism, formism, mechanism, contextualism, and organicism—Pepper surveys the whole field of metaphysics. Because this book is an analytical study, it stresses issues rather than men. It seeks to exhibit the sources of these issues and to show that some are unnecessary; that the rest gather into clusters and are interconnected in systems corresponding closely to the traditional schools of philosophy. The virtue of the root-metaphor method is that it puts metaphysics on a purely factual basis and pushes philosophical issues back to the interpretation of evidence. This book was written primarily as a contribution to the field, but its plan excellently suits it for use as a text in courses in metaphysics, types of philosophical theory, or present tendencies in philosophy.
Author: Nathaniel B. Cohen
Publisher:
ISBN:
Category : Aerodynamic heating
Languages : en
Pages : 72
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Book Description
Correlations of the transport property estimates of NASA TR R-50 are employed to determine locally similar solutions of the laminar boundary-layer equations for air in chemical equilibrium. Exact solutions for flat-plate flow, axisymmetric stagnation flow, and stagnation flow for yawed infinite cylinder are obtained, and a correlation formula for the heat-transfer distribution function for arbitrary favorable pressure gradient is determined. Extension to three-dimensional flows with small cross flow is briefly described.
Author: Mohammad Rostami
Publisher: CRC Press
ISBN: 1000400573
Category : Computers
Languages : en
Pages : 221
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Book Description
Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated. This success, however, is conditioned on availability of huge annotated datasets to training AI models. Data annotation is a time-consuming and expensive task which still is being performed by human workers. Learning efficiently from less data is a next step for making AI more similar to natural intelligence. Transfer learning has been suggested a remedy to relax the need for data annotation. The core idea in transfer learning is to transfer knowledge across similar tasks and use similarities and previously learned knowledge to learn more efficiently. In this book, we provide a brief background on transfer learning and then focus on the idea of transferring knowledge through intermediate embedding spaces. The idea is to couple and relate different learning through embedding spaces that encode task-level relations and similarities. We cover various machine learning scenarios and demonstrate that this idea can be used to overcome challenges of zero-shot learning, few-shot learning, domain adaptation, continual learning, lifelong learning, and collaborative learning.
Author: Ivan E. Beckwith
Publisher:
ISBN:
Category : Fluid mechanics
Languages : en
Pages : 102
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Book Description
Author: Julie Stern
Publisher: Corwin Press
ISBN: 1071835874
Category : Education
Languages : en
Pages : 333
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Book Description
"It is a pleasure to have a full length treatise on this most important topic, and may this focus on transfer become much more debated, taught, and valued in our schools." - John Hattie Teach students to use their learning to unlock new situations. How do you prepare your students for a future that you can’t see? And how do you do it without exhausting yourself? Teachers need a framework that allows them to keep pace with our rapidly changing world without having to overhaul everything they do. Learning That Transfers empowers teachers and curriculum designers alike to harness the critical concepts of traditional disciplines while building students’ capacity to navigate, interpret, and transfer their learning to solve novel and complex modern problems. Using a backwards design approach, this hands-on guide walks teachers step-by-step through the process of identifying curricular goals, establishing assessment targets, and planning curriculum and instruction that facilitates the transfer of learning to new and challenging situations. Key features include Thinking prompts to spur reflection and inform curricular planning and design. Next-day strategies that offer tips for practical, immediate action in the classroom. Design steps that outline critical moments in creating curriculum for learning that transfers. Links to case studies, discipline-specific examples, and podcast interviews with educators. A companion website that hosts templates, planning guides, and flexible options for adapting current curriculum documents. Using a framework that combines standards and the best available research on how we learn, design curriculum and instruction that prepares your students to meet the challenges of an uncertain future, while addressing the unique needs of your school community.
