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Representation in Machine Learning, Murty


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Автор: Murty
Название:  Representation in Machine Learning
ISBN: 9789811979071
Издательство: Springer
Классификация:


ISBN-10: 9811979073
Обложка/Формат: Soft cover
Страницы: 93
Вес: 0.17 кг.
Дата издания: 21.01.2023
Серия: SpringerBriefs in Computer Science
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 1 illustrations, black and white; ix, 93 p. 1 illus.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both theory and practice, when they are confronted with the huge size of the underlying data. Solutions to this problem are aptly covered in the book. In addition, the book covers a wide range of representation techniques that are important for academics and ML practitioners alike, such as Locality Sensitive Hashing (LSH), Distance Metrics and Fractional Norms, Principal Components (PCs), Random Projections and Autoencoders. Several experimental results are provided in the book to demonstrate the discussed techniques’ effectiveness.
Дополнительное описание: 1. Introduction.- 2. Representation.- 3. Nearest Neighbor Algorithms.- 4. Representation Using Linear Combinations.- 5. Non-Linear Schemes for Representation.- 6. Conclusions.



Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 1493938436 ISBN-13(EAN): 9781493938438
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Mathematics for Machine Learning

Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Название: Mathematics for Machine Learning
ISBN: 110845514X ISBN-13(EAN): 9781108455145
Издательство: Cambridge Academ
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Цена: 6334.00 р.
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Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

String Algorithms in C: Efficient Text Representation and Search

Автор: Mailund Thomas
Название: String Algorithms in C: Efficient Text Representation and Search
ISBN: 148425919X ISBN-13(EAN): 9781484259191
Издательство: Springer
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Цена: 9083.00 р.
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Описание: 1. Introduction.- 2. Classical Algorithms for Exact Search 3. Suffix Trees4. Suffix Arrays 5. Approximate Search6. ConclusionsAppendix A: VectorsAppendix B: ListsAppendix C: Queues

Graph Representation Learning

Автор: Hamilton, William L.
Название: Graph Representation Learning
ISBN: 3031004604 ISBN-13(EAN): 9783031004605
Издательство: Springer
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Цена: 7685.00 р.
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Описание: These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis.This book provides a synthesis and overview of graph representation learning.

Representation Theory of Symmetric Groups

Автор: Meliot, Pierre-Loic
Название: Representation Theory of Symmetric Groups
ISBN: 1032476923 ISBN-13(EAN): 9781032476926
Издательство: Taylor&Francis
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Цена: 7042.00 р.
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Описание: Representation Theory of Symmetric Groups is the most up-to-date abstract algebra book on the subject of symmetric groups and representation theory. Utilizing new research and results, this book can be studied from a combinatorial, algorithmic or algebraic viewpoint. This book is an excellent way of introducing today's students to representation theory of the symmetric groups, namely classical theory.

From there, the book explains how the theory can be extended to other related combinatorial algebras like the Iwahori-Hecke algebra. In a clear and concise manner, the author presents the case that most calculations on symmetric group can be performed by utilizing appropriate algebras of functions. Thus, the book explains how some Hopf algebras (symmetric functions and generalizations) can be used to encode most of the combinatorial properties of the representations of symmetric groups.

Overall, the book is an innovative introduction to representation theory of symmetric groups for graduate students and researchers seeking new ways of thought.

Diagrammatic Representation and Inference

Автор: Jamnik
Название: Diagrammatic Representation and Inference
ISBN: 3319423320 ISBN-13(EAN): 9783319423326
Издательство: Springer
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Цена: 7826.00 р.
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Описание:

This book constitutes the refereed proceedings of the 9th International
Conference on the Theory and Application of Diagrams, Diagrams 2016,
held in Philadelphia, PA, USA, in August 2016.
The 12 revised full papers and 11 short papers presented together with 5 posters were carefully reviewed and selected from 48 submissions. The papers are organized in the following topical sections: cognitive aspects of diagrams; logic and diagrams; Euler and Venn diagrams; diagrams and education; design principles for diagrams; diagrams layout.
Imprecision and Uncertainty in Information Representation and Processing

Автор: Plamen Angelov; Sotir Sotirov
Название: Imprecision and Uncertainty in Information Representation and Processing
ISBN: 3319263013 ISBN-13(EAN): 9783319263014
Издательство: Springer
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Цена: 20896.00 р.
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Описание: The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets.

From Discourse to Logic

Автор: Hans Kamp; U. Reyle
Название: From Discourse to Logic
ISBN: 9401049165 ISBN-13(EAN): 9789401049160
Издательство: Springer
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Цена: 46118.00 р.
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Описание: Some languages, for instance French and the other Romance languages, have two morphologically distinct past tenses, a simple past (the French Passe Simple) and a continuous past (the French Imparfait).

Video Content Analysis Using Multimodal Information

Автор: Ying Li; C.C. Jay Kuo
Название: Video Content Analysis Using Multimodal Information
ISBN: 1441953655 ISBN-13(EAN): 9781441953650
Издательство: Springer
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Цена: 20677.00 р.
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Описание: With the fast growth ofmultimedia information, content-based video anal- ysis, indexing and representation have attracted increasing attention in re- cent years. Many applications have emerged in these areas such as video- on-demand, distributed multimedia systems, digital video libraries, distance learning/education, entertainment, surveillance and geographical information systems. The need for content-based video indexing and retrieval was also rec- ognized by ISOIMPEG, and a new international standard called "Multimedia Content Description Interface" (or in short, MPEG-7)was initialized in 1998 and finalized in September 2001. In this context, a systematic and thorough review ofexisting approaches as well as the state-of-the-art techniques in video content analysis, indexing and representation areas are investigated and studied in this book. In addition, we will specifically elaborate on a system which analyzes, indexes and abstracts movie contents based on the integration ofmultiple media modalities. Content ofeach part ofthis book is briefly previewed below. In the first part, we segment a video sequence into a set ofcascaded shots, where a shot consistsofone or more continuouslyrecorded image frames. Both raw and compressedvideo data will beinvestigated. Moreover, consideringthat there are always non-story units in real TV programs such as commercials, a novel commercial break detection/extraction scheme is developed which ex- ploits both audio and visual cues to achieve robust results. Specifically, we first employ visual cues such as the video data statistics, the camera cut fre- quency, and the existenceofdelimiting black frames between commercials and programs, to obtain coarse-level detection results.

Foundations of Biomedical Knowledge Representation

Автор: Arjen Hommersom; Peter J.F. Lucas
Название: Foundations of Biomedical Knowledge Representation
ISBN: 3319280066 ISBN-13(EAN): 9783319280066
Издательство: Springer
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Цена: 7826.00 р.
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Описание:

How to Read the Book "Foundations of Biomedical Knowledge Representation".- An Introduction to Knowledge Representation and Reasoning in Healthcare.- Representing Knowledge for Clinical Diagnostic Reasoning.- Automated Diagnosis of Breast Cancer on Medical.- Monitoring in the Healthcare Setting.- Conformance Verification of Clinical Guidelines in Presence of Computerized and Human-Enhanced.- Modelling and Monitoring the Individual Patient in Real Time.- Personalised Medicine: Taking a New Look at the Patient.- Graphical Modelling in Genetics and Systems Biology.- Chain Graphs and Gene Networks.- Prediction and Prognosis of Health and Disease.- Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies.- Dynamic Bayesian Network for Cervical Cancer Screening.- Modeling Dynamic Processes with Memory by Higher Order Temporal Models.- Treatment of Disease: The Role of Knowledge Representation for Treatment Selection.- Predicting Adverse Drug Events from Electronic Medical Records.- User Modelling for Patient Tailored Virtual Rehabilitation.- Supporting Physicians and Patients through Recommendation: Guidelines and Beyond.- A Hybrid Approach to the Verification of Computer Interpretable Guidelines.- Aggregation of Clinical Evidence Using Argumentation.

Representation Theorems in Computer Science: A Treatment in Logic Engineering

Автор: Цzзep Цzgьr Lьtfь
Название: Representation Theorems in Computer Science: A Treatment in Logic Engineering
ISBN: 3030257878 ISBN-13(EAN): 9783030257873
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 1 Introduction.- 2 Preliminaries.- 3 Representing Spatial Relatedness.- 4 Scalable Spatio-Thematic Query Answering.- 5 Representation Theorems for Stream Processing.- 6 High-Level Declarative Stream Processing.- 7 Representation for Belief Revision.- 8 Conclusion.

Diagrammatic Representation and Inference: 12th International Conference, Diagrams 2021, Virtual, September 28-30, 2021, Proceedings

Автор: Basu Amrita, Stapleton Gem, Linker Sven
Название: Diagrammatic Representation and Inference: 12th International Conference, Diagrams 2021, Virtual, September 28-30, 2021, Proceedings
ISBN: 3030860612 ISBN-13(EAN): 9783030860615
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 12th International Conference on the Theory and Application of Diagrams, Diagrams 2021, held virtually in September 2021. The 16 full papers and 25 short papers presented together with 16 posters were carefully reviewed and selected from 94 submissions.


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