04 - collaborative spam filtering using e-mail networks

04 - collaborative spam filtering using e-mail networks

04 - collaborative spam filtering using e-mail networks

... linearly with its e-mail activity level—that is,its degree in the network. A B C D 2 e-mails (0.2) 10 e-mails (0.5) 9 e-mails (1.0) 8 e-mails (0.8) 5 e-mails (0.25) 5 e-mails (0.25) 7 e-mails (1.0) Trust ... addition, such collaborative spam- filtering mechanisms can be implemented as plug-ins to popular e-mail programs such as Microsoft Outlook. COLLABORATIVE SPAM- FILTERING MECH...

Ngày tải lên: 22/03/2014, 22:25

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02 - spam filtering using spam mail communities

02 - spam filtering using spam mail communities

... ‘unsolicited e-mail or ‘unsolicited commercial bulk e-mail . Spam is becoming a great problem today and survey reports show that in most cases, more than 25% of e-mail received is spam [1]. Spam ... Approaches to filter spam The current techniques to filter spam mail do it by means of classifying a message as either spam or non- spam (legitimate). Most of them do statist...

Ngày tải lên: 22/03/2014, 22:25

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Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

... characterized by 175 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-4 7 1-3 699 8-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright ... Networks, Edited by Simon Haykin Copyright # 2001 John Wiley & Sons, Inc. ISBNs: 0-4 7 1-3 699 8-5 (Hardback); 0-4 7 1-2 215 4-6 (Electronic) solution...

Ngày tải lên: 23/12/2013, 07:16

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Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

... Kalman [1] for the 1 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-4 7 1-3 699 8-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright ... Networks, Edited by Simon Haykin Copyright # 2001 John Wiley & Sons, Inc. ISBNs: 0-4 7 1-3 699 8-5 (Hardback); 0-4 7 1-2 215 4-6 (Electronic) and the i...

Ngày tải lên: 13/12/2013, 13:15

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Tài liệu Kalman Filtering and Neural Networks P2 doc

Tài liệu Kalman Filtering and Neural Networks P2 doc

... the condition-dependent time delays, which can range from less than 0.1 s at high engine speeds to more than 1 s at low speeds. We employed a RMLP network with structure 1 5-2 0R-15R-10R-1 and a sparse ... second- order information during the training process using only first-order approximations. The use of second-order information, as embedded in the approximate error covariance matrix,...

Ngày tải lên: 14/12/2013, 13:15

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Tài liệu Kalman Filtering and Neural Networks P3 doc

Tài liệu Kalman Filtering and Neural Networks P3 doc

... Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright # 2001 John Wiley & Sons, Inc. ISBNs: 0-4 7 1-3 699 8-5 (Hardback); 0-4 7 1-2 215 4-6 (Electronic) complicated than a one-dimensional ... are not present in one- dimensional prediction problems: the scene may be cluttered with back- 69 Kalman Filtering and Neural Networks, Edited by Simon Haykin...

Ngày tải lên: 14/12/2013, 13:15

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Tài liệu Kalman Filtering and Neural Networks P4 doc

Tài liệu Kalman Filtering and Neural Networks P4 doc

... noisy signals were used to train two distinct 6-6 R-5R-1 networks using the first 5000 samples in the same fashion as in the noise-free case. The right-hand plots of Figures 4.9a and 4.9b show the ... the deviation in 83 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-4 7 1-3 699 8-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks,...

Ngày tải lên: 14/12/2013, 13:15

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Tài liệu Kalman Filtering and Neural Networks P5 pdf

Tài liệu Kalman Filtering and Neural Networks P5 pdf

... industrial production (IP). As with most macro- -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 (a) (c) (d ) (b) Figure ... noisy observations. 123 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-4 7 1-3 699 8-5 # 2001 John Wiley...

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