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Book
519views
17 years 1 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
133
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FGCN
2008
IEEE
240views Communications» more  FGCN 2008»
15 years 8 months ago
Data Compression Algorithm Based on Hierarchical Cluster Model for Sensor Networks
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
Tongsen Wang, Lei Wang, Zhijun Xie, Ronghua Yang
100
Voted
FGCN
2007
IEEE
111views Communications» more  FGCN 2007»
15 years 8 months ago
New Algorithm for Effective Utilization of Bandwidth for Sensitive Applications
In this paper, we propose an algorithm, which allocates the bandwidth in an effective manner for sensitive applications. The main idea of this work is to allocate more amount of b...
G. Varaprasad, R. S. D. Wahida Banu, Pallapa Venka...
QEST
2005
IEEE
15 years 8 months ago
An approximation algorithm for labelled Markov processes: towards realistic approximation
Abstract— Approximation techniques for labelled Markov processes on continuous state spaces were developed by Desharnais, Gupta, Jagadeesan and Panangaden. However, it has not be...
Alexandre Bouchard-Côté, Norm Ferns, ...
AI
2003
Springer
15 years 7 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire