Nearest Neighbor (NN) Norms
Author: Belur V. Dasarathy
Publisher:
Published: 1991
Total Pages: 472
ISBN-13:
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Lectures on the Nearest Neighbor Method
Author: Gérard Biau
Publisher: Springer
Published: 2015-12-08
Total Pages: 284
ISBN-13: 3319253883
DOWNLOAD EBOOKThis text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).
Advances in Databases and Information Systems
Author: Yannis Ioannidis
Publisher: Springer Science & Business Media
Published: 2007-09-17
Total Pages: 387
ISBN-13: 354075184X
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 11th East European Conference on Advances in Databases and Information Systems, ADBIS 2007, held in Varna, Bulgaria, in September/October 2007. The 23 revised papers presented together with three invited lectures were carefully reviewed and selected from 77 submissions. The papers address current research on database theory, development of advanced DBMS technologies, and their advanced applications.
Classic Works of the Dempster-Shafer Theory of Belief Functions
Author: Ronald R. Yager
Publisher: Springer
Published: 2008-01-22
Total Pages: 813
ISBN-13: 354044792X
DOWNLOAD EBOOKThis is a collection of classic research papers on the Dempster-Shafer theory of belief functions. The book is the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. The book includes a foreword reflecting the development of the theory in the last forty years.
Data Structures, Near Neighbor Searches, and Methodology
Author: Michael H. Goldwasser
Publisher: American Mathematical Soc.
Published:
Total Pages: 272
ISBN-13: 9780821871003
DOWNLOAD EBOOKThis book presents reviewed and revised papers from the fifth and sixth DIMACS Implementation Challenge workshops. These workshops, held approximately annually, aim at encouraging high-quality work in experimental analysis of data structures and algorithms. The papers published in this volume are the results of year-long coordinated research projects and contain new findings and insights. Three papers address the performance evaluation of implementations for two fundamental data structures, dictionaries and priority queues as used in the context of real applications. Another four papers consider the still evolving topic of methodologies for experimental algorithmics. Five papers are concerned with implementations of algorithms for nearest neighbor search in high dimensional spaces, an area with applications in information retrieval and data mining on collections of Web documents, DNA sequences, images and various other data types.
Explaining the Success of Nearest Neighbor Methods in Prediction
Author: George H. Chen
Publisher: Foundations and Trends (R) in Machine Learning
Published: 2018-05-30
Total Pages: 264
ISBN-13: 9781680834543
DOWNLOAD EBOOKExplains the success of Nearest Neighbor Methods in Prediction, both in theory and in practice.
Advanced Intelligent Computing Theories and Applications
Author: De-Shuang Huang
Publisher: Springer Science & Business Media
Published: 2007-08-09
Total Pages: 1397
ISBN-13: 3540742018
DOWNLOAD EBOOKThis volume, in conjunction with the two volumes CICS 0002 and LNCS 4681, constitutes the refereed proceedings of the Third International Conference on Intelligent Computing held in Qingdao, China, in August 2007. The 139 full papers published here were carefully reviewed and selected from among 2,875 submissions. These papers offer important findings and insights into the field of intelligent computing.
Progress in Pattern Recognition, Speech and Image Analysis
Author: Alberto Sanfeliu
Publisher: Springer
Published: 2003-11-06
Total Pages: 709
ISBN-13: 3540245863
DOWNLOAD EBOOKCIARP 2003 (8th Iberoamerican Congress on Pattern Recognition) was the eighth event in a series of pioneering congresses on pattern recognition in the Latin American c- munity of countries. This year, however, the forum was extended to include worldwide participation. The event has been held in the past in Mexico, Cuba, Brazil and Por- gal; it took place this year in Havana (Cuba). The aim of the congress was to promote and disseminate ongoing research into mathematical methods for pattern recognition, computer vision, image analysis, and speech recognition, as well as the application of these techniques in such diverse areas as robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition to name a few. Moreover it was a forum for scienti?c re- arch, experience exchange, the sharing of new knowledge, and establishing contacts to improve cooperation between research groups in pattern recognition, computer vision and related areas. The congress was organized by the Institute of Cybernetics, Mathematics and P- sics of Cuba (ICIMAF) and the Center for Computing Research (CIC) of the National Polytechnic Institute of Mexico, and was sponsored by the University of La Salle, - xico, the University of Oriente, Cuba, the Polytechnic Institute “Jose ́ A.
AI 2010: Advances in Artificial Intelligence
Author: Jiuyong Li
Publisher: Springer
Published: 2010-11-23
Total Pages: 544
ISBN-13: 3642174329
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence, AI 2010, held in Adelaide, Australia, in December 2010. The 52 revised full papers presented were carefully reviewed and selected from 112 submissions. The papers are organized in topical sections on knowledge representation and reasoning; data mining and knowledge discovery; machine learning; statistical learning; evolutionary computation; particle swarm optimization; intelligent agent; search and planning; natural language processing; and AI applications.
Computational Methods in Neural Modeling
Author: José Mira
Publisher: Springer
Published: 2003-08-03
Total Pages: 781
ISBN-13: 3540448683
DOWNLOAD EBOOKThe two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in MaÃ3, Menorca, Spain in June 2003.The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.
