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Wsdm 18
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Book Synopsis Proceedings of the Sixth ACM International Conference on Web Search and Data Mining by : Stefano Leonardi
Download or read book Proceedings of the Sixth ACM International Conference on Web Search and Data Mining written by Stefano Leonardi and published by . This book was released on 2013 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probabilistic Machine Learning by : Kevin P. Murphy
Download or read book Probabilistic Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2022-03-01 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
Book Synopsis Web Information Systems Engineering – WISE 2018 by : Hakim Hacid
Download or read book Web Information Systems Engineering – WISE 2018 written by Hakim Hacid and published by Springer. This book was released on 2018-10-20 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11233 and LNCS 11234 constitutes the proceedings of the 19th International Conference on Web Information Systems Engineering, WISE 2018, held in Dubai, United Arab Emirates, in November 2018. The 48 full papers and 21 short papers presented were carefully reviewed and selected from 209 submissions. The papers are organized in topical sections on blockchain, security, social network and security, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web services and cloud computing, data stream and distributed computing, data mining techniques, entity linkage and semantics, Web applications, and data mining applications.
Download or read book American Radio written by and published by . This book was released on 2000 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Personalized Human-Computer Interaction by : Mirjam Augstein
Download or read book Personalized Human-Computer Interaction written by Mirjam Augstein and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-09-23 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.
Book Synopsis Handbook of Mobile Systems Applications and Services by : Anup Kumar
Download or read book Handbook of Mobile Systems Applications and Services written by Anup Kumar and published by CRC Press. This book was released on 2016-04-19 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: From fundamental concepts and theories to implementation protocols and cutting-edge applications, the Handbook of Mobile Systems Applications and Services supplies a complete examination of the evolution of mobile services technologies. It examines service-oriented architecture (SOA) and explains why SOA and service oriented computing (SOC) will pl
Book Synopsis Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference by : Sara Rodríguez González
Download or read book Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference written by Sara Rodríguez González and published by Springer Nature. This book was released on 2021-09-09 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest research on distributed computing and artificial intelligence. DCAI 2021 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 55 papers were submitted to main track and special sessions, by authors from 24 different countries representing a truly “wide area network” of research activity. Moreover, DCAI 2021 Special Sessions have been a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. The technical program of the Special Sessions of DCAI 2021 has selected 23 papers. We would like to thank all the contributing authors, the members of the Program Committees, the sponsors (IBM, Armundia Group, EurAI, AEPIA, APPIA, CINI, OIT, UGR, HU, SCU, USAL, AIR Institute and UNIVAQ) and the Organizing Committee of the University of Salamanca for their hard and highly valuable work.
Book Synopsis Proceedings of the International Conference on Cognitive and Intelligent Computing by : Amit Kumar
Download or read book Proceedings of the International Conference on Cognitive and Intelligent Computing written by Amit Kumar and published by Springer Nature. This book was released on 2022-10-31 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.
Book Synopsis Working with Network Data by : James Bagrow
Download or read book Working with Network Data written by James Bagrow and published by Cambridge University Press. This book was released on 2024-05-31 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.
Book Synopsis Heterogeneous Graph Representation Learning and Applications by : Chuan Shi
Download or read book Heterogeneous Graph Representation Learning and Applications written by Chuan Shi and published by Springer Nature. This book was released on 2022-01-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. In this book, we provide a comprehensive survey of current developments in HG representation learning. More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning.
Book Synopsis Representation Learning by : Nada Lavrač
Download or read book Representation Learning written by Nada Lavrač and published by Springer Nature. This book was released on 2021-07-10 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph addresses advances in representation learning, a cutting-edge research area of machine learning. Representation learning refers to modern data transformation techniques that convert data of different modalities and complexity, including texts, graphs, and relations, into compact tabular representations, which effectively capture their semantic properties and relations. The monograph focuses on (i) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed in these various areas of modern data science, enabling the reader to understand the common underlying principles and to gain insight using selected examples and sample Python code. The monograph should be of interest to a wide audience, ranging from data scientists, machine learning researchers and students to developers, software engineers and industrial researchers interested in hands-on AI solutions.
Download or read book Billboard written by and published by . This book was released on 1975-07 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ethics and Clinical Neuroinnovation by : Laura Weiss Roberts
Download or read book Ethics and Clinical Neuroinnovation written by Laura Weiss Roberts and published by Springer Nature. This book was released on 2023-01-31 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: New ways of understanding the brain – its nature, its capacities, its function, and its dysfunction – hold great promise for human wellbeing. Novel therapeutics spurred by this understanding have important roles addressing many clinical conditions, including Alzheimer Disease, depression, addiction, and obsessive-compulsive disorder. This unique title explores a wide range of groundbreaking sciences and clinical practices for brain-based conditions, including deep brain stimulation, optogenetics, technology-delivered therapies, predictive testing, and new clinical uses of ketamine, cannabis, and other psychoactive substances. An introduction to the imperative to develop new treatments for devastating brain disorders and the state of current therapeutics in psychiatry, addiction, and behavioral disorders is presented, and chapters from leading physician-scientists and neuroethicists outline the clinical and the ethical issues arising in innovation and in the creation of new therapeutics for brain diseases. Written by renowned thought leaders in their fields, the book presents tightly written contributions on novel qualitative and quantitative data from stakeholders in the field, including neuroscientist-clinicians, people living with mental illness and/or addictions, and oversight/policy stakeholders. Concise, anticipatory, and centered on the principles governing human biomedical research and innovation in developing novel therapeutics for brain disorders, Ethics and Clinical Neuroinnovation will be of great value to clinicians, researchers, and students from a vast array of backgrounds, including neuroethics, neuroscience, psychology, psychiatry, philosophy, entrepreneurship, and the law.
Download or read book Wsdm '18 written by Wsdm and published by . This book was released on 2018-10-25 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are delighted to welcome you to the Eleventh ACM International Conference on Web Search and Data Mining (WSDM 2018) held in Los Angeles, California, USA, on February 5-9, 2018. Now in its eleventh year, WSDM has become a top tier conference in Web-inspired research relating to search and data mining. As in previous years, we continued observing a growth in number of submissions. The conference this year, with 514 valid submissions, maintained the major boost that was observed last year in Cambridge UK (with 505 submissions as compared to 386 in year 2016 in San Francisco). Interestingly, we saw an increase in 10% in abstract submissions with a record breaking 757 abstracts (as compared to 687 in 2017) but only 68% of those ended up as valid submissions. This is partly due to a relatively high number of invalid submissions that did not adhere to our new double-blind review policy. The 514 valid submissions originated from 41 countries, out of which 84 (as compared to 80 in 2017) were accepted for full paper publication in the proceedings, thus reaching an acceptance rate of 16.12% (as compared to 15.94% last year) and within the range of the last 11 years (with a min of 15.5% and a max of 22.3%.) Unfortunately, three papers were withdrawn/rejected after acceptance due to their violations of WSDM guidelines. The final 81 papers that will be published in the proceedings are from 23 countries, spanning four continents, making this a truly international forum. Oral presentation slots were allocated to all papers. Yet, in order to maintain the single track model that most attendees prefer, we followed the spotlight short presentation plus poster approach that was introduced in 2012. Out of the 81 accepted papers, 58 were assigned such a two-minute spotlight slot, while 23 were assigned a long twenty-minute talk slot. The type of slot was chosen by the Senior PC members and Program co-chairs, mostly based on whether the topic and the content of the paper were best suited for a large group presentation or for a more focused and interactive poster style of presentation. The double-blind flavor we adopted this year allowed the authors to indicate the source of their data set, or deployment environment (so as not to refer to major commercial search engines as has often been done in the past). However, we observed that several authors failed to indicate their conflict of interest (COI) adequately and we will make sure to enforce COI guidelines (through both awareness campaigns and hopefully automated tools) more rigorously now that the double-blind review policy has been adopted.
Download or read book Billboard written by and published by . This book was released on 1974-10-12 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: In its 114th year, Billboard remains the world's premier weekly music publication and a diverse digital, events, brand, content and data licensing platform. Billboard publishes the most trusted charts and offers unrivaled reporting about the latest music, video, gaming, media, digital and mobile entertainment issues and trends.
Book Synopsis Recommender Systems by : Dongsheng Li
Download or read book Recommender Systems written by Dongsheng Li and published by Springer Nature. This book was released on with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Complete Guide to the Art of Writing Short-hand by : Thomas Towndrow
Download or read book A Complete Guide to the Art of Writing Short-hand written by Thomas Towndrow and published by . This book was released on 1859 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
