Recognition And Modes Of Knowledge
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Recognition And Modes Of Knowledge
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Author : Teresa G. Russo
language : en
Publisher: University of Alberta
Release Date : 2013-01-15
Recognition And Modes Of Knowledge written by Teresa G. Russo and has been published by University of Alberta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Literary Collections categories.
Anagnorisis, or recognition, has played a central role in the arts and humanities throughout history. It is a universal mode of knowledge in literature and the arts; in sacred texts and scholastic writing; in philosophy; in psychology; in politics and social theory. Recognition is a phenomenon and a fulcrum that makes these discourses possible. To date, no one has attempted a comprehensive discussion of recognition across disciplines, places, and historical periods. Recognition and Modes of Knowledge is the culmination of an interdisciplinary conference on recognition with contributions from international authorities, including Piero Boitani, Roland Le Huenen, Rachel Adelman, and Christina Tarnopolsky. Students and experts in the humanities who desire a rich grounding in the concept of recognition should start with this book.
Recognition And Modes Of Knowledge
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Author : Teresa G. Russo
language : en
Publisher: University of Alberta
Release Date : 2013-01-15
Recognition And Modes Of Knowledge written by Teresa G. Russo and has been published by University of Alberta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Literary Collections categories.
A comprehensive and comparative examination of the concept of recognition across history and disciplines.
Human Interface And The Management Of Information Information And Knowledge Design
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Author : Sakae Yamamoto
language : en
Publisher: Springer
Release Date : 2015-07-20
Human Interface And The Management Of Information Information And Knowledge Design written by Sakae Yamamoto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-20 with Computers categories.
The two-volume set LNCS 9172 and 9173 constitutes the refereed proceedings of the Human Interface and the Management of Information thematic track, held as part of the 17th International Conference on Human-Computer Interaction, HCII 2015, held in Los Angeles, CA, USA, in August 2015, jointly with 15 other thematically similar conferences. The total of 1462 papers and 246 posters presented at the HCII 2015 conferences were carefully reviewed and selected from 4843 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers accepted for presentation thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. This volume contains papers addressing the following major topics: information visualization; information presentation; knowledge management; haptic, tactile and multimodal interaction; service design and management; user studies.
Machine Learning And Knowledge Discovery In Databases Applied Data Science Track
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Author : Yuxiao Dong
language : en
Publisher: Springer Nature
Release Date : 2021-02-24
Machine Learning And Knowledge Discovery In Databases Applied Data Science Track written by Yuxiao Dong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-24 with Computers categories.
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 autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Hybrid Methods In Pattern Recognition
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 2002
Hybrid Methods In Pattern Recognition written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Technology & Engineering categories.
The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system. Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and so on. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.
Semantic Methods For Knowledge Management And Communication
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Author : Radosław Katarzyniak Katarzyniak
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-04
Semantic Methods For Knowledge Management And Communication written by Radosław Katarzyniak Katarzyniak and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-04 with Computers categories.
The book consists of 31 chapters in which the authors deal with multiple aspects of modeling, utilization and implementation of semantic methods for knowledge management and communication in the context of human centered computing. It is assumed that the modern human centered computing requires the intensive application of these methods as well as effective integration with multiple techniques of computational collective intelligence. The book is organized in four parts devoted to the presentation of utilization of knowledge processing in agent and multiagent systems, application of computational collective intelligence to knowledge management, models for collectives of intelligent agents, and models and environments tailored directly to human-centered computing. All chapters in the book discuss theoretical and practical issues related to various models and aspects of computational techniques for semantic methods, which are currently studied and developed in many academic and industry centers over the world. The editors hope that the book can be useful for graduate and PhD students of computer science, as well as for mature academics, researchers and practitioners interested in developing of modern methods for representation, processing and distribution of knowledge in the context of human centered computing and by means of computer based information systems. It is the hope of the editors that readers of this volume can find in all chosen chapters many inspiring ideas and influential practical examples, as well as use them in their current and future work.
Knowledge Science Engineering And Management
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Author : Cungeng Cao
language : en
Publisher: Springer Nature
Release Date : 2024-07-26
Knowledge Science Engineering And Management written by Cungeng Cao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.
The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks
Rough Set And Knowledge Technology
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Author : JingTao Yao
language : en
Publisher: Springer
Release Date : 2011-10-02
Rough Set And Knowledge Technology written by JingTao Yao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-02 with Computers categories.
This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.
Data Mining And Knowledge Discovery Via Logic Based Methods
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Author : Evangelos Triantaphyllou
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-08
Data Mining And Knowledge Discovery Via Logic Based Methods written by Evangelos Triantaphyllou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-08 with Computers categories.
The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points.
A Practical Guide To Problem Based Learning Online
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Author : Maggi Savin-Baden
language : en
Publisher: Routledge
Release Date : 2007-12-28
A Practical Guide To Problem Based Learning Online written by Maggi Savin-Baden and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-28 with Education categories.
Problem-based learning online is a burgeoning area, crying out for support in all the disciplines, but particularly health, medicine, education and social care that are already advanced users of problem-based learning in higher education. This book provides highly grounded research based ways for those wanting to change problem-based learning modules and programs from face to face to online approaches, as well as those who have developed e-learning components but who want to adopt problem-based methods. Providing an overview of the current state of problem based learning online, it examines why we're moving from fact to face to online provision, considers existing forms of provision, outlines common mistakes and strategies to avoid future problems, and shows how to effectively facilitate learning. Illustrated by mini case studies and examples of international projects, it provides guidance on effective design, online collaboration and group dynamics, and explores the common, and complex, decisions faced when choosing which form of problem-based learning to adopt. Including practical information and resources for games and activities, scenarios of problem-based learning in the different disciplines, advice for supporting staff and students, and effectively evaluating the tools, skills and pedagogy needed for learning, this book is an essential guide for all practitioners involved in the design and delivery of problem based learning online.