Statistics 2 for OCR

Statistics 2 for OCR

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  • Author: Steve Dobbs
  • Publisher: Cambridge University Press
  • ISBN: 9780521786041
  • Category : Juvenile Nonfiction
  • Languages : en
  • Pages : 192

This book is part of a series of textbooks written specifically for the OCR modular mathematics syllabus. Each book or half-book corresponds exactly to one module. Both teachers and students will enjoy using these books. Each chapter starts with a short list of learning objectives, and mathematical ideas are explained carefully and clearly, with many stimulating worked examples. There are plenty of exercises throughout, along with revision exercises and mock exam papers - all written by experienced examiners. Statistics 2 introduces the normal distribution and the Poisson distribution. It also covers sampling and hypothesis testing.


Statistics 2 for OCR

Statistics 2 for OCR

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  • Author: Steve Dobbs
  • Publisher: Cambridge University Press
  • ISBN: 9780521548946
  • Category : Juvenile Nonfiction
  • Languages : en
  • Pages : 196

Fully endorsed by OCR and revised to match the 2005 specification, this series has been carefully revised by experienced teachers and provides easy to use texts. Cambridge Advanced Mathematics for OCR encourages achievement by supporting revision and consolidation through review exercises and mock exam papers written by experienced examiners. The books also explore ideas through practical and computer activities.


Statistics 1 for OCR

Statistics 1 for OCR

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  • Author: Steve Dobbs
  • Publisher: Cambridge University Press
  • ISBN: 9780521786034
  • Category : Juvenile Nonfiction
  • Languages : en
  • Pages : 222

This book is part of the Cambridge Advanced Level Mathematics series, written specifically for the OCR modular mathematics syllabus. Each book or half-book corresponds exactly to one module. Statistics 1 has chapters on data representation, probability, expectation and variance, and the binomial distribution. It also introduces correlation and regression. Each chapter starts with a short list of learning objectives, and mathematical ideas are explained carefully and clearly, with many worked examples. There are plenty of exercises throughout, along with revision exercises and mock exam papers - all written by experienced examiners.


Natural Language Processing and Chinese Computing

Natural Language Processing and Chinese Computing

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  • Author: Wei Lu
  • Publisher: Springer Nature
  • ISBN: 3031171209
  • Category : Computers
  • Languages : en
  • Pages : 878

This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022. The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.


Annual Statistical Report

Annual Statistical Report

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  • Author:
  • Publisher:
  • ISBN:
  • Category : Electric power
  • Languages : en
  • Pages : 264


Annual Statistical Report

Annual Statistical Report

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  • Author: United States. Rural Electrification Administration
  • Publisher:
  • ISBN:
  • Category : Government lending
  • Languages : en
  • Pages : 244


Document Analysis and Recognition – ICDAR 2021

Document Analysis and Recognition – ICDAR 2021

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  • Author: Josep Lladós
  • Publisher: Springer Nature
  • ISBN: 303086331X
  • Category : Computers
  • Languages : en
  • Pages : 878

This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports. The papers are organized into the following topical sections: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding.


Proceedings 1995 Symposium on Document Image Understanding Technology

Proceedings 1995 Symposium on Document Image Understanding Technology

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  • Author: David Doermann
  • Publisher: UMD
  • ISBN: 9780977943609
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 276


Advances in Engineering Data Handling

Advances in Engineering Data Handling

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  • Author: P.C.C. Wang
  • Publisher: Springer Science & Business Media
  • ISBN: 1461328179
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 304

To understand what we know and be aware of what is to be known has become the central focus in the treatment of engineering data handling issues. It has been some time since we began treating issues arriving from engineering data handling in a low key fashion because of its housekeeping chores and data maintenance aspects representing nonglamorous issues related to automation. Since the advent of CAD/CAM, large numbers of data bases have been generated through stand alone CAD systems and the rate of this automated means of generating data is rapidly increasing. This possibly is the key factor in changing our way of looking at engineering data related problems. This volume contains some of the papers, including revisions, which were presented at the fourth Automation Technology conference held in Monterey, California. This volume represents ATI's efforts to bring forth some of the important case studies related to engineering data handling from the user's point of view. Because of its potential enormous impact on management and productivity advancement, careful documentation and coordination for outstanding contributions to this area are of utmost importance. This volume may serve as a precursor to additional volumes in the area of engineering data handling and CAD/CAM related user studies. Anyone with comments or suggestions, as well as potential contributors, to this series, is encouraged to contact the editorial board of AT!.


Computational Intelligence in Data Mining - Volume 3

Computational Intelligence in Data Mining - Volume 3

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  • Author: Lakhmi C. Jain
  • Publisher: Springer
  • ISBN: 8132222024
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 717

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.