Автор: Shermis, Mark D. Название: Automated Essay Scoring ISBN: 0805839739 ISBN-13(EAN): 9780805839739 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Klebanov Beata Beigman, Madnani Nitin Название: Automated Essay Scoring ISBN: 1636392229 ISBN-13(EAN): 9781636392226 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14414.00 р. Наличие на складе: Поставка под заказ.
Описание:
This book discusses the state of the art of automated essay scoring, its challenges and its potential. One of the earliest applications of artificial intelligence to language data (along with machine translation and speech recognition), automated essay scoring has evolved to become both a revenue-generating industry and a vast field of research, with many subfields and connections to other NLP tasks. In this book, we review the developments in this field against the backdrop of Elias Page's seminal 1966 paper titled "The Imminence of Grading Essays by Computer."
Part 1 establishes what automated essay scoring is about, why it exists, where the technology stands, and what are some of the main issues.In Part 2, the book presents guided exercises to illustrate how one would go about building and evaluating a simple automated scoring system, while Part 3 offers readers a survey of the literature on different types of scoring models, the aspects of essay quality studied in prior research, and the implementation and evaluation of a scoring engine. Part 4 offers a broader view of the field inclusive of some neighboring areas, and Part \ref{part5} closes with summary and discussion.
This book grew out of a week-long course on automated evaluation of language production at the North American Summer School for Logic, Language, and Information (NASSLLI), attended by advanced undergraduates and early-stage graduate students from a variety of disciplines. Teachers of natural language processing, in particular, will find that the book offers a useful foundation for a supplemental module on automated scoring. Professionals and students in linguistics, applied linguistics, educational technology, and other related disciplines will also find the material here useful.
Автор: Beata Beigman Klebanov, Nitin Madnani Название: Automated Essay Scoring ISBN: 1636392245 ISBN-13(EAN): 9781636392240 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 17602.00 р. Наличие на складе: Поставка под заказ.
Описание:
This book discusses the state of the art of automated essay scoring, its challenges and its potential. One of the earliest applications of artificial intelligence to language data (along with machine translation and speech recognition), automated essay scoring has evolved to become both a revenue-generating industry and a vast field of research, with many subfields and connections to other NLP tasks. In this book, we review the developments in this field against the backdrop of Elias Page's seminal 1966 paper titled "The Imminence of Grading Essays by Computer."
Part 1 establishes what automated essay scoring is about, why it exists, where the technology stands, and what are some of the main issues.In Part 2, the book presents guided exercises to illustrate how one would go about building and evaluating a simple automated scoring system, while Part 3 offers readers a survey of the literature on different types of scoring models, the aspects of essay quality studied in prior research, and the implementation and evaluation of a scoring engine. Part 4 offers a broader view of the field inclusive of some neighboring areas, and Part \ref{part5} closes with summary and discussion.
This book grew out of a week-long course on automated evaluation of language production at the North American Summer School for Logic, Language, and Information (NASSLLI), attended by advanced undergraduates and early-stage graduate students from a variety of disciplines. Teachers of natural language processing, in particular, will find that the book offers a useful foundation for a supplemental module on automated scoring. Professionals and students in linguistics, applied linguistics, educational technology, and other related disciplines will also find the material here useful.
Название: Handbook of automated scoring ISBN: 1032173475 ISBN-13(EAN): 9781032173474 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Overview of the innovative automated scoring theory, latest development of computational methodologies, real world large-scale applications for automated scoring for complex tasks. Provides a scientifically grounded description of the key research and development efforts that it takes to move automated scoring systems into operational practice.
Автор: Shermis, Mark D. Название: Handbook of Automated Essay Evaluation ISBN: 1848729952 ISBN-13(EAN): 9781848729957 Издательство: Taylor&Francis Рейтинг: Цена: 46702.00 р. Наличие на складе: Нет в наличии.
Автор: Shermis, Mark D. Название: Handbook of Automated Essay Evaluation ISBN: 0415810965 ISBN-13(EAN): 9780415810968 Издательство: Taylor&Francis Рейтинг: Цена: 21437.00 р. Наличие на складе: Нет в наличии.
Автор: R. Larsen Kai, Becker Daniel S. Название: Automated Machine Learning for Business ISBN: 0190941669 ISBN-13(EAN): 9780190941666 Издательство: Oxford Academ Рейтинг: Цена: 7162.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data science that requires only a few weeks to learn instead of years of training Though the concept of computers learning to solve a problem may still conjure thoughts of futuristic artificial intelligence, the reality is that machine learning algorithms now exist within most major software, including Websites and even word processors. These algorithms are transforming society in the most radical way since the Industrial Revolution, primarily through automating tasks such as deciding which users to advertise to, which machines are likely to break down, and which stock to buy and sell. While this work no longer always requires advanced technical expertise, it is crucial that practitioners and students alike understand the world of machine learning. In this book, Kai R. Larsen and Daniel S. Becker teach the machine learning process using a new development in data science: automated machine learning (AutoML). AutoML, when implemented properly, makes machine learning accessible by removing the need for years of experience in the most arcane aspects of data science, such as math, statistics, and computer science. Larsen and Becker demonstrate how anyone trained in the use of AutoML can use it to test their ideas and support the quality of those ideas during presentations to management and stakeholder groups. Because the requisite investment is a few weeks rather than a few years of training, these tools will likely become a core component of undergraduate and graduate programs alike. With first-hand examples from the industry-leading DataRobot platform, Automated Machine Learning for Business provides a clear overview of the process and engages with essential tools for the future of data science.
Описание: Steffen Heinrich describes a motion planning system for automated vehicles.
Автор: Mukunthu Deepak, Shah Parashar, Tok Wee Hyong Название: Practical Automated Machine Learning on Azure ISBN: 149205559X ISBN-13(EAN): 9781492055594 Издательство: Wiley Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you`ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models.
Описание: This book reports on an outstanding thesis that has significantlyadvanced the state-of-the-art in the area of automated negotiation. It describes an innovative negotiating agent frameworkthat enables systematic exploration of the space of possible negotiationstrategies by recombining different agent components.
Автор: Suresh Chandra Satapathy; Ajay Kumar Jena; Jaganna Название: Automated Software Engineering: A Deep Learning-Based Approach ISBN: 303038005X ISBN-13(EAN): 9783030380052 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation.
Автор: Simon Colton Название: Automated Theory Formation in Pure Mathematics ISBN: 1447111133 ISBN-13(EAN): 9781447111139 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Building on over 20 years of research into constructing an automated mathematician carried out in Professor Alan Bundy`s mathematical reasoning group in Edinburgh, Dr. Colton has implemented the HR system as a solution to the problem of forming theories by computer.
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