Showing results for "chaomei chen"
Showing 1 - 4 of 4 Results
Adult content is visible.
The Fitness of Information
Quantitative Assessments of Critical Evidence
2014
EN
Theories and practices to assess critical information in a complex adaptive systemOrganized for readers to follow along easily, The Fitness of Information: Quantitative Assessments of Critical Evidence provides a structured outline of the key challenges in assessing crucial information in a complex adaptive system. Illustrating a variety of computational and explanatory challenges, the book demonstrates principles and practical implications of exploring an...
Representing Scientific Knowledge
The Role of Uncertainty
- Series -
- Computer Science (R0)
2017
EN
This book is written for anyone who is interested in how a field of research evolves and the fundamental role of understanding uncertainties involved in different levels of analysis, ranging from macroscopic views to meso- and microscopic ones. We introduce a series of computational and visual analytic techniques, from research areas such as text mining, deep learning, information visualization and science mapping, such that readers can apply these tools to the study of a subject matter of...
- Series -
- Computer Science (R0)
2013
EN
Information Visualisation is a fast growing research field and an industry with tremendous potential. Virtual environments provide a unique medium for people to communicate and interact over computer networks. Information Visualisation and Virtual Environments links the two areas together and presents the latest research and development, highlighting the potential of information visualisation as an enabling technology in the design of new generations of vi...
Mapping Scientific Frontiers
The Quest for Knowledge Visualization
- Series -
- Computer Science (R0)
2013
EN
This is an examination of the history and the state of the art of the quest for visualizing scientific knowledge and the dynamics of its development. Through an interdisciplinary perspective this book presents profound visions, pivotal advances, and insightful contributions made by generations of researchers and professionals, which portrays a holistic view of the underlying principles and mechanisms of the development of science.This updated and extended second edition:
People who read this also enjoyed
Multi-disciplinary Trends in Artificial Intelligence
9th International Workshop, MIWAI 2015, Fuzhou, China, November 13-15, 2015, Proceedings
2015
EN
This book constitutes the refereed conference proceedings of the 9th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2015, held in Fuzhou, China, in November 2015.The 30 revised full papers presented together with 12 short papers were carefully reviewed and selected from 83 submissions. The papers feature a wide range of topics covering knowledge representation, reasoning, and management; multi-agent systems; data mining and machine learning;...
Geostatistics Explained
An Introductory Guide for Earth Scientists
2010
EN
A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation ...
Data Matching
Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
- Series -
- Computer Science (R0)
2012
EN
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over th...
Artificial Neural Networks and Machine Learning – ICANN 2016
25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II
2016
EN
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016.The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications ...
PMP® Examination Practice Questions
400 Practice Questions and Answers to help you Pass
- Series -
- Business and Management (R0)
2016
EN
Study for the Project Management Professional (PMP®) Examination with this essential aid in your study program. It contains over 400 realistic multiple choice practice questions, answers, and explanations. PMP® Examination Practice Questions is organized into two useful parts. The first comprises all the questions, organized in chapters by topic, allowing you to simulate the actual test. The second part not only gives the answers, but also comments on the incorrect answers, provid...
2014
EN
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Ana...
2016
EN
This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a stochastic particle competition technique for both non-supervised and semi-...
Scale Space and Variational Methods in Computer Vision
6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings
2017
EN
This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017.The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and O...











