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Author: Jian Cao Publisher: Springer Science & Business Media ISBN: 3540881395 Category : Computers Languages : en Pages : 373
Book Description
This book constitutes the refereed proceedings of the IFIP International Conference on Network and Parallel Computing, NPC 2008, held in Shanghai, China in October 2008. The 32 revised full papers presented were carefully selected from over 140 submissions. The papers are organized in topical sections on network technologies; network applications; network and parallel architectures; parallel and distributed software.
Author: Jian Cao Publisher: Springer Science & Business Media ISBN: 3540881395 Category : Computers Languages : en Pages : 373
Book Description
This book constitutes the refereed proceedings of the IFIP International Conference on Network and Parallel Computing, NPC 2008, held in Shanghai, China in October 2008. The 32 revised full papers presented were carefully selected from over 140 submissions. The papers are organized in topical sections on network technologies; network applications; network and parallel architectures; parallel and distributed software.
Author: Piet Van Mieghem Publisher: Cambridge University Press ISBN: 1139952781 Category : Technology & Engineering Languages : en Pages : 692
Book Description
This rigorous, self-contained book describes mathematical and, in particular, stochastic and graph theoretic methods to assess the performance of complex networks and systems. It comprises three parts: the first is a review of probability theory; Part II covers the classical theory of stochastic processes (Poisson, Markov and queueing theory), which are considered to be the basic building blocks for performance evaluation studies; Part III focuses on the rapidly expanding new field of network science. This part deals with the recently obtained insight that many very different large complex networks – such as the Internet, World Wide Web, metabolic and human brain networks, utility infrastructures, social networks – evolve and behave according to general common scaling laws. This understanding is useful when assessing the end-to-end quality of Internet services and when designing robust and secure networks. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis.
Author: Collins Achepsah Leke Publisher: Springer ISBN: 3030011801 Category : Technology & Engineering Languages : en Pages : 188
Book Description
Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation in engineering systems. The missing data estimation processes proposed in the book can be applied in image recognition and reconstruction. To facilitate the imputation of missing data, several artificial intelligence approaches are presented, including: deep autoencoder neural networks; deep denoising autoencoder networks; the bat algorithm; the cuckoo search algorithm; and the firefly algorithm. The hybrid models proposed are used to estimate the missing data in high-dimensional data settings more accurately. Swarm intelligence algorithms are applied to address critical questions such as model selection and model parameter estimation. The authors address feature extraction for the purpose of reconstructing the input data from reduced dimensions by the use of deep autoencoder neural networks. They illustrate new models diagrammatically, report their findings in tables, so as to put their methods on a sound statistical basis. The methods proposed speed up the process of data estimation while preserving known features of the data matrix. This book is a valuable source of information for researchers and practitioners in data science. Advanced undergraduate and postgraduate students studying topics in computational intelligence and big data, can also use the book as a reference for identifying and introducing new research thrusts in missing data estimation.
Author: Ioannis Stefanou Publisher: John Wiley & Sons ISBN: 1394325657 Category : Science Languages : en Pages : 308
Book Description
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Author: Tshilidzi Marwala Publisher: Springer Science & Business Media ISBN: 1447150104 Category : Computers Languages : en Pages : 271
Book Description
Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.
Author: Felici, Giovanni Publisher: IGI Global ISBN: 1599045303 Category : Computers Languages : en Pages : 394
Book Description
"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.
Author: Renata Teixeira Publisher: Springer Science & Business Media ISBN: 3642009743 Category : Computers Languages : en Pages : 250
Book Description
This book constitutes the refereed proceedings of the 10th International Conference on Passive and Active Measurement, PAM 2009, held in Seoul, Korea, in April 2009. The 22 revised full papers and 2 revised demo papers presented were carefully reviewed and selected from 77 submissions. The papers focus on research and practical applications of routing and forwarding, topology and delay, methods for large-scale measurements, wireless, management tools, audio and video traffic, peer-to-peer, traffic measurements, and measurements of anomalous and unwanted traffic.
Author: David Cheung Publisher: Springer Science & Business Media ISBN: 3540260765 Category : Computers Languages : en Pages : 885
Book Description
This book constitutes the refereed proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2005, held in Hanoi, Vietnam, in May 2005. The 48 revised full papers and 49 revised short papers presented together with abstracts or extended abstracts of 3 invited talks were carefully reviewed and selected from 327 submissions. The papers are organized in topical sections on theoretical foundations, association rules, biomedical domains, classification and ranking, clustering, dynamic data mining, graphical model discovery, high dimensional data, integration of data warehousing, knowledge management, machine learning, novel algorithms, spatial data, temporal data, and text and Web data mining.
Author: Tim Kerig Publisher: Archaeopress Publishing Ltd ISBN: 1784911429 Category : Social Science Languages : en Pages : 177
Book Description
This volume brings together a group of peer reviewed papers, most of them presented at a workshop held at University College London, 15-17 October 2011, as part of the European Research Council (ERC) funded project Cultural Evolution of Neolithic Europe (EUROEVOL 2010-2015).
Author: Jian Cao
Author: Jian Cao
Author: Piet Van Mieghem
Author: Collins Achepsah Leke
Author: Ioannis Stefanou
Author: Tshilidzi Marwala
Author: Felici, Giovanni
Author: Renata Teixeira
Author: David Cheung
Author: Jianglong Yu
Author: Tim Kerig