transfer learning

Human Behavior Learning and Transfer【電子書籍】 Yangsheng XuTransfer Learning through Embedding Spaces【電子書籍】 Mohammad RostamiFeature Transfer and Feature Learning in Universal Grammar/石野尚【3000円以上送料無料】Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Ker洋書 Turning Learning into Action: A Proven Methodology for Effective Transfer of LearningIntroduction to Transfer Learning Algorithms and Practice【電子書籍】 Jindong WangStick the Learning Brain-Based Teaching Techniques to Increase Retention, Application, and Transfer (Powerful brain-based techniques to accelerate learning and ensure long-term student success)【電子書籍】 Eric SaundersFeature Transfer and Feature Learning in Universal GrammarUnderstanding Writing Transfer Implications for Transformative Student Learning in Higher Education【電子書籍】Transfer of Learning Contemporary Research and Applications【電子書籍】Heat Transfer A Systematic Learning Approach【電子書籍】 Naseem UddinArabic Second Language Learning and Effects of Input, Transfer, and Typology【電子書籍】 Mohammad T. AlhawaryFrom Practice to Competition A Coach 039 s Guide for Designing Training Sessions to Improve the Transfer of Learning【電子書籍】 Gibson DardenTransfer of Learning Progressive Perspectives for Mathematics Education and Related Fields【電子書籍】Teaching for Transfer A Guide for Designing Learning With Real-World Application (A guide to instructional strategies that build transferable skills in K-12 students)【電子書籍】 Michael McDowell【送料無料】Feature Transfer and Feature Learning in Universal Grammar/石野尚/著洋書 Paperback, Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and KerasFeature Transfer and Feature Learning in Universal Grammar 本/雑誌 / 石野尚/著Feature Transfer and Feature Learning in Universal GrammarTurning Learning into Action A Proven Methodology for Effective Transfer of Learning【電子書籍】 Emma Weber
 

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  • <p>Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and reaction behaviors and explore processes for evaluating, optimizing, and trans</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>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.</p> <p>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.</p> <p>In this book, we provide a brief background on transfer learning and then focus on the idea ...
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  • 著者石野尚(著)出版社関西学院大学出版会発売日2019年12月ISBN9784862832955ページ数220Pキーワードふいーちやーとらんすふあーあんどふいーちやーらーに フイーチヤートランスフアーアンドフイーチヤーラーニ いしの なお イシノ ナオ9784862832955内容紹介第二言語習得の過程に現れる言語体系のモデルを構築する試み。とりわけ再帰代名詞のような照応表現や多重主格・属格付与構文の第二言語習得現象を多言語間で観察し、提案するモデルの正則性を示す。※本データはこの商品が発売された時点の情報です。目次1 Framework/2 Theory of Feature Transfer/Feature Learning/3 Φ‐Feature Specification of Reflexives/4 Φ‐Feature Specification of TG Reflexives:Prediction by FTFL and Experimental Results/5 Crosslinguistic Investigations on TG Reflexives/6 Multiple Specifiers and Φ‐Feature Specification/7 Φ‐Feature Specification of T/D in Transitional Grammar:Prediction by FTFL and Experimental Results/8 Crosslinguistic Investigations on Multiple Specifiers in Transitional Grammar/9 Split Binding in Transitional Grammar
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  • 【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号(通称:T番号・登録番号)を印字した納品書(明細書)を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードして頂くこともできます(宛名はご希望のものを入力して頂けます)。■商品名■Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras [ペーパーバック] Sarkar, Dipanjan、 Bali, Raghav; Ghosh, Tamoghna■出版社■Packt Publishing■著者■Sarkar, Dipanjan■発行年■2018/08/31■ISBN10■1788831306■ISBN13■978178883130...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p>Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning.</p> <p>This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a “student’s” perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice.</p>画面が切り替わりますので、しばら...
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  • <p>Combing through research for effective teaching strategies is a big ask for busy educators. This concise guide bridges brain-based learning theory with everyday instructional practice to maximize teacher effectiveness for visible student achievement. Learn three powerful, doable techniques proven to support long-term retention: spaced repetition, interleaving, and retrieval (SIR). Explore engaging activities designed to improve student retention, application, and transfer by easily integrating SIR into your classroom.</p> <p><strong>This user-friendly guide to sticky learning will help K?12 teachers</strong></p> <ul> <li>Understand the SIR techniques that support a brain-compatible classroom</li> <li>Use activities to better implement SIR in the classroom</li> <li>Understand the importance of utilizing repetition and interleaving alongside retrieval</li> <li>Increase student achievement</li> <li>Reflect on their own growth and success in implementi...
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  • 石野尚/著本詳しい納期他、ご注文時はご利用案内・返品のページをご確認ください出版社名関西学院大学出版会出版年月2019年12月サイズ220P 22cmISBNコード9784862832955語学 英語 英文法・英作文商品説明Feature Transfer and Feature Learning in Universal Grammarフイ-チヤ- トランスフア- アンド フイ-チヤ- ラ-ニング イン ユニヴア-サル グラマ- FEATURE TRANSFER AND FEATURE LEARNING IN UNIVERSAL GRAMMAR※ページ内の情報は告知なく変更になることがあります。あらかじめご了承ください登録日2023/05/08
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  • <p>While education is based on the broad assumption that what one learns here can transfer over there? across critical transitions ? what do we really know about the transfer of knowledge?The question is all the more urgent at a time when there are pressures to “unbundle” higher education to target learning particular subjects and skills for occupational credentialing to the detriment of integrative education that enables students to make connections and integrate their knowledge, skills and habits of mind into a adaptable and critical stance toward the worldThis book ? the fruit of two-year multi-institutional studies by forty-five researchers from twenty-eight institutions in five countries ? identifies enabling practices for, and five essential principles about, writing transfer that should inform decision-making by all higher education stakeholders about how to generally promote the transfer of knowledge.This collection concisely summarizes what we know about writing transfer ...
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  • <p>Since the mid-1970s, scientific and educational research has left a gap in the field of basic and applied research on transfer of learning. This book fills the gap with state-of-the-art information on recent research in the field, emphasizing methodological paradigms and interpretive concepts based on contemporary cognitive/information processing approaches to the study of human behavior. Issues discussed include how transfer is measured, how its direction and magnitude are determined, how training for transfer differs from training for acquisition, and whether different principles of transfer apply to motor, cognitive, and meta-cognitive processes.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p><strong>Heat Transfer: A Systematic Learning Approach</strong> presents valuable tools for understanding heat transfer mechanisms and provides a clear understanding of complex turbulent flows. It gives a comprehensive introduction to topics of heat transfer, including conduction, convection, thermal radiation, and nanofluids.</p> <p>Covering both traditional analytical models for canonical flows and modern turbulence modeling approaches for heat transfer, the book discusses complex impinging jet flow, phase change flows, nanofluids, and convective mass transfer flow. The text includes numerous end-of-chapter problems to enhance student understanding and different solving approaches. It offers the basic flow and energy analysis along with useful MAPLE code to facilitate the learning process.</p> <p>The book is intended for senior undergraduate mechanical, aerospace, and chemical engineering students taking courses in heat transfer.</p> <p>Instructors will be able...
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  • <p>Despite the status of Arabic as a global language and the high demand to learn it, the field of Arabic second language acquisition remains underinvestigated. Second language acquisition findings are crucial for informing and advancing the field of Arabic foreign language pedagogy including Arabic language teaching, testing, and syllabus design.</p> <p><em>Arabic Second Language Learning and Effects of Input, Transfer, and Typology</em> provides data-driven empirical findings for a number of basic and high-frequency morphosyntactic structures with two novel typological language pairings, examining Arabic second language acquisition data from adult L1 Chinese- and Russian-speaking learners of Arabic as a foreign language. Alhawary’s study examines the different processes, hypotheses, and acquisition tendencies from the two learner groups, and documents the extent of the successes and challenges faced by such learners in their L2 Arabic grammatical development during the f...
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  • <p>Practice may arguably be the most important predictive factor of athlete success in sport. As such, designing and conducting effective practice sessions should be an essential element of coach education and development efforts.</p> <p>In From Practice to Competition: A Coach's Guide for Designing Training Sessions to Improve the Transfer of Learning, Gibson Darden and Sandra Wilson provide practical, research-based recommendations for coaches to help them get the most out of their athletes at every practice. Easily transferrable across a variety of sports, this guide explores and applies “transfer of learning” concepts that coaches can use to better design and structure their training sessions. When implemented, these techniques yield greater positive transfer of their practices to the game.</p> <p>Featuring sample scenarios, real-world examples, potential difficulties, and helpful tips for each of the key “transfer of learning” concepts, this book is the perfect guide ...
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  • <p>This book provides a common language for and makes connections between transfer research in mathematics education and transfer research in related fields. It generates renewed excitement for and increased visibility of transfer research, by showcasing and aggregating leading-edge research from the transfer research community.</p> <p>This book also helps to establish transfer as a sub-field of research within mathematics education and extends and refines alternate perspectives on the transfer of learning. The book provides an overview of current knowledge in the field as well as informs future transfer research.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>Empower students to become creative, well-rounded citizens who are prepared to meet and overcome real-world challenges. With <em>Teaching for Transfer</em>, you’ll discover a road map for reconfiguring K-12 classroom instruction to ensure learners can expertly apply their knowledge and skills to new contexts. The resource includes ample practices and protocols you can begin using today to cultivate essential transfer-level skills in students.</p> <p><strong>Use this resource to introduce students to varied perspectives and instances of perplexity:</strong></p> <ul> <li>Study the three levels of complexity: (1) surface, (2) deep, and (3) transfer.</li> <li>Understand how foundational knowledge and skills can be leveraged to create transfer-level learning experiences and increase student engagement and problem-solving skills.</li> <li>Learn specific teaching strategies and protocols for incorporating perspective and perplexity in the classroom to mimic r...
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  • 関西学院大学出版会 外国語教育 文法 220P 22cm フイ−チヤ− トランスフア− アンド フイ−チヤ− ラ−ニング イン ユニヴア−サル グラマ− FEATURE TRANSFER AND FEATURE LEARNING IN UNIVERSAL GRAMMAR イシノ,ナオ
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • ご注文前に必ずご確認ください<商品説明><収録内容>1 Framework2 Theory of Feature Transfer/Feature Learning3 Φ‐Feature Specification of Reflexives4 Φ‐Feature Specification of TG Reflexives:Prediction by FTFL and Experimental Results5 Crosslinguistic Investigations on TG Reflexives6 Multiple Specifiers and Φ‐Feature Specification7 Φ‐Feature Specification of T/D in Transitional Grammar:Prediction by FTFL and Experimental Results8 Crosslinguistic Investigations on Multiple Specifiers in Transitional Grammar9 Split Binding in Transitional Grammar<商品詳細>商品番号:NEOBK-2439656Nao Ishino / Feature Transfer and Feature Learning in Universal Grammarメディア:本/雑誌発売日:2019/12JAN:9784862832955Feature Transfer and Feature Learning in Universal Grammar[本/雑誌] / 石野尚/著2019/12発売
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  • 石野尚/著本詳しい納期他、ご注文時はご利用案内・返品のページをご確認ください出版社名関西学院大学出版会出版年月2019年12月サイズ220P 22cmISBNコード9784862832955語学 英語 英文法・英作文Feature Transfer and Feature Learning in Universal Grammarフイ-チヤ- トランスフア- アンド フイ-チヤ- ラ-ニング イン ユニヴア-サル グラマ- FEATURE TRANSFER AND FEATURE LEARNING IN UNIVERSAL GRAMMAR※ページ内の情報は告知なく変更になることがあります。あらかじめご了承ください登録日2023/05/08
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  • <p>Learning transfer is the missing link in training. Using conventional approaches to training, an average of just 10-20% of learning makes it back into the workplace and contributes to better business outcomes. With the current increased emphasis on efficiency and cost-effectiveness, such a dismal record is no longer acceptable. To improve these statistics and to make training truly valuable we must recognise that successful learning is not just about good content and well executed programmes but also about finding ways to facilitate genuine behavioural change and accountability back in the workplace.</p> <p><em><strong>Turning Learning into Action</strong></em> provides the necessary tools to enable trainers, buyers of training and L&D professionals to do just this. It presents the new, proven TLA methodology, which acknowledges the important role of ADDIE in the instructional design process but takes learning a step further. TLA focuses on the fact that to generate...
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