Bandit Algorithms in Information Retrieval, Dorota Glowacka

Автор: Daniel J. Velleman
Название: How to Prove It : A Structured Approach
ISBN: 1108439535 ISBN-13(EAN): 9781108439534
Издательство: Cambridge Academ
Рейтинг:
Цена: 39070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proofs play a central role in advanced mathematics and theoretical computer science, and this bestselling text`s third edition will help students transition from solving problems to proving theorems by teaching them the techniques needed to read and write proofs, with a new chapter on number theory and over 150 new exercises.

Автор: Xia Lirong
Название: Learning and Decision-Making from Rank Data
ISBN: 1681734427 ISBN-13(EAN): 9781681734422
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, and timely decisions. Often, such data are represented by rankings. This book surveys some recent progress toward addressing the challenge from the considerations of statistics, computation, and socio-economics. We will cover classical statistical models for rank data, including random utility models, distance-based models, and mixture models. We will discuss and compare classical and state of-the-art algorithms, such as algorithms based on Minorize-Majorization (MM), Expectation-Maximization (EM), Generalized Method-of-Moments (GMM), rank breaking, and tensor decomposition. We will also introduce principled Bayesian preference elicitation frameworks for collecting rank data. Finally, we will examine socio-economic aspects of statistically desirable decision-making mechanisms, such as Bayesian estimators. This book can be useful in three ways: (1) for theoreticians in statistics and machine learning to better understand the considerations and caveats of learning from rank data, compared to learning from other types of data, especially cardinal data; (2) for practitioners to apply algorithms covered by the book for sampling, learning, and aggregation; and (3) as a textbook for graduate students or advanced undergraduate students to learn about the field. This book requires that the reader has basic knowledge in probability, statistics, and algorithms. Knowledge in social choice would also help but is not required.

Название: Handbook of Data Structures and Applications, Second Edition
ISBN: 149870185X ISBN-13(EAN): 9781498701853
Издательство: Taylor&Francis
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Цена: 209270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive survey of data structures of various types. The second edition has been revised and updated with new chapters on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores.

Автор: Kwok Tai Chui, Miltiadis D. Lytras
Название: Computational Methods and Algorithms for Medicine and Optimized Clinical Practice
ISBN: 1522582444 ISBN-13(EAN): 9781522582441
Издательство: Mare Nostrum (Eurospan)
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Цена: 239310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the healthcare industry continues to expand, it must utilize technology to ensure efficiencies are maintained. Healthcare needs to move in a direction where computational methods and algorithms can relieve the routine work of medical doctors, leaving them more time to carry out more important and skilled tasks such as surgery. Computational Methods and Algorithms for Medicine and Optimized Clinical Practice discusses some of the most interesting aspects of theoretical and applied research covering complementary facets of computational methods and algorithms to achieve greater efficiency and support medical personnel. Featuring research on topics such as healthcare reform, artificial intelligence, and disease detection, this book will particularly appeal to medical professionals and practitioners, hospitals, administrators, students, researchers, and academicians.

Автор: White John
Название: Bandit Algorithms for Website Optimization
ISBN: 1449341330 ISBN-13(EAN): 9781449341336
Издательство: Wiley
Рейтинг:
Цена: 16890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows you how to run experiments on your website using A/B testing - and then takes you a huge step further by introducing you to bandit algorithms for website optimization.

Автор: Tor Lattimore, Csaba Szepesvari
Название: Bandit Algorithms
ISBN: 1108486827 ISBN-13(EAN): 9781108486828
Издательство: Cambridge Academ
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Цена: 46470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks.

Автор: Downey Allen B.
Название: Think Data Structures: Algorithms and Information Retrieval in Java
ISBN: 1491972394 ISBN-13(EAN): 9781491972397
Издательство: Wiley
Рейтинг:
Цена: 33780.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you`re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering-data structures and algorithms-in a way that`s clearer, more concise, and more engaging than other materials.

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733943 ISBN-13(EAN): 9781681733944
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 102570.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Автор: Binxing Fang, Jia-Yan Yao
Название: [Set Online Social Network Analysis, Vol 1-3]
ISBN: 311062656X ISBN-13(EAN): 9783110626568
Издательство: Walter de Gruyter
Цена: 259100.00 T
Наличие на складе: Нет в наличии.

Автор: Binxing Fang, Yan Jia
Название: Information and Communication
ISBN: 3110597845 ISBN-13(EAN): 9783110597844
Издательство: Walter de Gruyter
Рейтинг:
Цена: 107790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 3 of the set mainly focuses on the propagation models and evolution rules of information. Information retrieval and dissemination, topic discovery and evolution, algorithms of influence maximization are discussed in detail. It is an essential reference for scientist and professionals in computer science.

Автор: Binxing Fang, Yan Jia
Название: Groups and Interaction
ISBN: 3110597772 ISBN-13(EAN): 9783110597776
Издательство: Walter de Gruyter
Рейтинг:
Цена: 107790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users’ behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733927 ISBN-13(EAN): 9781681733920
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.