Advances in Network-Based Information Systems
نویسندگان
چکیده
منابع مشابه
Advances in Network Information
Access to information using the Internet has undergone dramatic change and expansion recently. The unrivaled success of the World Wide Web has altered the Internet from something approachable only by the initiated to something of a media craze – the information superhighway made manifest in the personal ‘home page.’ This paper surveys the beginnings of network information discovery and retrieva...
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A peg-in-hole insertion task is used as an example to illustrate the utility of direct associative reinforcement learning methods for learning control under real-world conditions of uncertainty and noise. Task complexity due to the use of an unchamfered hole and a clearance of less than 0:2mm is compounded by the presence of positional uncertainty of magnitude exceeding 10 to 50 times the clear...
متن کاملIn : Advances in Neural Information Processing Systems
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This can provide intuitive guidelines for choosing a `good' SVM kernel. It can also assign (by evidence maximization) optimal values to parameters such as the noise level C which cannot be determined unambiguously from properties of t...
متن کاملin Advances in Neural Information Processing Systems
A new decomposition algorithm for training regression Support Vector Machines (SVM) is presented. The algorithm builds on the basic principles of decomposition proposed by Osuna et. al., and addresses the issue of optimal working set selection. The new criteria for testing optimality of a working set are derived. Based on these criteria, the principle of \maximal inconsistency" is proposed to f...
متن کاملin Advances in Neural Information Processing Systems
In this paper, we use mutual information to characterize the distributions of phonetic and speaker/channel information in a time-frequency space. The mutual information (MI) between the pho-netic label and one feature, and the joint mutual information (JMI) between the phonetic label and two or three features are estimated. The Miller's bias formulas for entropy and mutual information estimates...
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ژورنال
عنوان ژورنال: Mobile Information Systems
سال: 2012
ISSN: 1574-017X,1875-905X
DOI: 10.1155/2012/901247