Author : M. Freire
Publisher : Springer
Page : 258 pages
File Size : 10,84 MB
Release : 2012-05-15
Category : Political Science
ISBN : 0230390161
Russia has recently re-emerged as the dominant political, economic and military actor in former Soviet nations. Kanet and Freire bring together a stellar cast of contributors to consider Russia's recent return as a major regional and international actor and its likely future policy toward its neighbours.
Author : Michael H. Goldwasser
Publisher : American Mathematical Soc.
Page : 272 pages
File Size : 20,77 MB
Release : 2002
Category : Computers
ISBN : 0821828924
The 11 papers are from two workshops: one in 1995-95 on dictionaries and priority queues, and the other in 1998-99 on near neighbor searches, the fifth and sixth DIMACS Algorithm Implementation Challenges initiated in 1991. They address those challenges with considerations of a practical perfect hashing algorithm, locally lifting the curse of dimensionality for a nearest neighbor search, and other topics. They also discuss methodology for the experimental analysis of algorithms. They are not indexed. Annotation copyrighted by Book News, Inc., Portland, OR.
Author : Molly Clavering
Publisher : Dean Street Press
Page : 218 pages
File Size : 17,46 MB
Release : 2021-06-07
Category : Fiction
ISBN : 9781914150579
A novel, first published in 1956.
Author : Lynda Cheshire
Publisher : Emerald Group Publishing
Page : 289 pages
File Size : 12,83 MB
Release : 2022-08-18
Category : Social Science
ISBN : 1839094788
Neighbours are a lively topic of everyday conversation and interest. Neighbours Around the World takes a comparative look around the world at our relationships and interactions with the people living next door, analysing the ways in which these relationships are changing in the face of large-scale macro social and urban processes.
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 147 pages
File Size : 25,43 MB
Release : 2023-06-23
Category : Computers
ISBN :
What Is K Nearest Neighbor Algorithm The k-nearest neighbors technique, also known as k-NN, is a non-parametric supervised learning method that was initially created in 1951 by Evelyn Fix and Joseph Hodges in the field of statistics. Thomas Cover later expanded on the original concept. It has applications in both regression and classification. In both scenarios, the input is made up of the k training instances in a data collection that are the closest to one another. Whether or not k-NN was used for classification or regression, the results are as follows:The output of a k-nearest neighbor classification is a class membership. A plurality of an item's neighbors votes on how the object should be classified, and the object is then assigned to the class that is most popular among its k nearest neighbors (where k is a positive number that is often quite small). If k is equal to one, then the object is simply classified as belonging to the category of its single closest neighbor.The result of a k-NN regression is the value of a certain property associated with an object. This value is the average of the values of the k neighbors that are the closest to the current location. If k is equal to one, then the value of the output is simply taken from the value of the one nearest neighbor. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: K-nearest neighbors algorithm Chapter 2: Supervised learning Chapter 3: Pattern recognition Chapter 4: Curse of dimensionality Chapter 5: Nearest neighbor search Chapter 6: Cluster analysis Chapter 7: Kernel method Chapter 8: Large margin nearest neighbor Chapter 9: Structured kNN Chapter 10: Weak supervision (II) Answering the public top questions about k nearest neighbor algorithm. (III) Real world examples for the usage of k nearest neighbor algorithm in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of k nearest neighbor algorithm' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of k nearest neighbor algorithm.
Author : Apostolos N. Papadopoulos
Publisher : Springer Science & Business Media
Page : 179 pages
File Size : 43,7 MB
Release : 2006-11-22
Category : Computers
ISBN : 0387275444
Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency. This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.
Author : Jonathan Haslam
Publisher : Oxford University Press
Page : 396 pages
File Size : 28,81 MB
Release : 2015
Category : History
ISBN : 0198708491
The true story of Soviet intelligence from the very beginnings in1917 right through to the end of the Cold War and the collapse of the USSR in 1991 - now told in full for the first time
Author : Dr Pankaj Jha
Publisher : KW Publishers Pvt Ltd
Page : 113 pages
File Size : 20,41 MB
Release : 2015-07-15
Category :
ISBN : 9385714104
Developments in South Asia in the areas of democracy, political economy and security in the last couple of years are intriguing and raise questions about whether the region is on the road to transformation. The years 2013 and 2014, particularly, have been ‘years of transition’ in South Asia. Almost all South Asia countries have undergone political transitions with cascading effects. These elections are significant for South Asian countries because the region has witnessed political instability for a long period of time. The elections in South Asia generated the hope that the most un-integrated region may become interdependent after coming up of new sets of political heads. These developments in the region have an influence on India’s foreign policy and also mould its domestic politics; and vice-versa. India’s policy towards individual countries also has a decisive impact on the pace of on-going political transitions in a number of spheres: civil-military relations, foreign policy of individual countries, socio-political and economic dynamics and nature of governance. These transitions reflect the nature, behaviour and response of the transitory states towards the others. India, as an important stakeholder in the region is keenly observing these transitions in its neighbourhood. This book titled: Transitions and Interdependence: India and Its Neighbours is the outcome of serious deliberations among well known scholars, diplomats and policy makers at the Fifth Asian Relations Conference organised by the Indian Council of World Affairs in collaboration with the Institute of Peace and Conflict Studies in February 2014. Papers presented in the conference have been thoroughly revised before publication and the editors acknowledge with gratitude theses insightful contributions.
Author : M. Narasimha Murty
Publisher : Springer Science & Business Media
Page : 274 pages
File Size : 23,60 MB
Release : 2011-05-25
Category : Computers
ISBN : 0857294954
Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. This book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, neural networks, support vector machines and decision trees. While theoretical aspects have been given due coverage, the emphasis is more on the practical. The book is replete with examples and illustrations and includes chapter-end exercises. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.
Author : Ali Ahammad Shoukat Choudhury
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 42,7 MB
Release : 2008-08-20
Category : Technology & Engineering
ISBN : 3540792244
were published in the series as the contributed volume, Process Control Performance Assessment: From Theory to Implementation with Andrzej Ordys, Damian Uduehi, and Michael Johnson as Editors (ISBN 978-1-84628-623-0, 2007). Along with this good progress in process controller assessment methods, researchers have also been investigating techniques to diagnose what is causing the process or control loop degradation. This requires the use of on-line data to identify faults via new diagnostic indicators of typical process problems. A significant focus of some of this research has been the issue of valve problems; a research direction that has been motivated by some industrial statistics that show up to 40% of control loops having performance degradation attributable to valve problems. Shoukat Choudhury, Sirish Shah, and Nina Thornhill have been very active in this research field for a number of years and have written a coherent and consistent presentation of their many research results as this monograph, Diagnosis of Process Nonlinearities and Valve Stiction. The Advances in Industrial Control series is pleased to welcome this new and substantial contribution to the process diagnostic literature. The reader will find the exploitation of the extensive process data archives created by today’s process computer systems one theme in the monograph. From another viewpoint, the use of higher-order statistics could be considered to provide a continuing link to the earlier methods of the statistical process control paradigm.
