'Code length' diaporamas de présentation

Bayesian regularization of learning

Bayesian regularization of learning. Sergey Shumsky NeurOK Software LLC. Induction F.Bacon Machine. Deduction R.Descartes Math. modeling. Learning. Scientific methods. Models. Data. Outline. Learning as ill-posed problem General problem: data generalization

717 views • 55 slides

Data Compression: Advanced Topics

Data Compression: Advanced Topics. Huffman Coding Algorithm Motivation Procedure Examples Unitary Transforms Definition Properties Applications. Recall: Variable Length Codes (VLC). Recall:. Self-information. It follows from the above formula that a small-probability event contains

571 views • 48 slides

572 views • 48 slides

CS 570 Artificial Intelligence Chapter 20. Bayesian Learning

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Ali Al- Saihati ID# 200350130

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L2 and L5 Civil Signal Industry Day 2 May 2001 LCDR Richard Fontana

L2 and L5 Civil Signal Industry Day 2 May 2001 LCDR Richard Fontana GPS Deputy Program Manager, DOT. GPS L2 Civil Signal Industry Day Agenda. ITEM BRIEFER TIME Welcome and Introductions LCDR Fontana 0900-0910 Overview of GPS Modernization Paul Novak 0910-0920

391 views • 27 slides

SLIQ: A Fast Scalable Classifier for Data Mining

SLIQ: A Fast Scalable Classifier for Data Mining. Manish Mehta, Rakesh Agrawal, Jorma Rissanen 1996. Presentation by: Vladan Radosavljevic. Outline. Introduction Motivation SLIQ Algorithm Building tree Pruning Example Results Conclusion. Introduction.

531 views • 24 slides

420 views • 24 slides

An Information-theoretic Approach to Network Measurement and Monitoring

An Information-theoretic Approach to Network Measurement and Monitoring. Yong Liu, Don Towsley, Tao Ye, Jean Bolot. Outline. motivation background flow-based network model full packet trace compression marginal/joint coarser granularity netflow and SNMP future work. Motivation.

326 views • 22 slides

An Information-theoretic Approach to Network Measurement and Monitoring

An Information-theoretic Approach to Network Measurement and Monitoring. Yong Liu, Don Towsley, Tao Ye, Jean Bolot. Outline. motivation background flow-based network model full packet trace compression marginal/joint coarser granularity netflow and SNMP future work. Motivation.

338 views • 22 slides

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Multi-coded Bi-orthogonal PPM (MC-BPPM) Based Impulse Radio Technology Date Submitted: 8 Sep., 2004

371 views • 21 slides

An Asymmetric Fingerprinting Scheme based on Tardos Codes

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Decision Tree Classifiers

Decision Tree Classifiers. Oliver Schulte Machine Learning 726. Overview. Decision Tree. Popular type of classifier. Easy to visualize. Especially for discrete values, but also for continuous. Learning: Information Theory . Decision Tree Example. Exercise.

439 views • 19 slides

Towards the Capacity of Noncoherent Orthogonal Modulation: BICM-ID for Turbo Coded NFSK

Towards the Capacity of Noncoherent Orthogonal Modulation: BICM-ID for Turbo Coded NFSK. Matthew Valenti West Virginia University Ewald Hueffmeier and Bob Bogusch Mission Research Corporation (Monterey) John Fryer Applied Data Trends (Huntsville). Motivation. Objective:

349 views • 17 slides

Image Compression

Image Compression. Signals and image processing by computer Winter 2012-13 Yael Erez. Binary Images. Bit Map Very simple Representation size = image size Large memory. Coding Scheme. image. code. Encode. code. image. Decode. Binary Images Encoding. Run Length

552 views • 16 slides

Chaotic Communication System Proposal

Chaotic Communication System Proposal. : # of bits per data block. : # of Repetitions. : Orthogonal code length. : # of repetitions. : Code length. : Pulse bin width (duration). : Multi-coded chip duration. : Position number for BPPM. : Multi-coded symbol duration.

238 views • 15 slides

Presented by Arshad Jamal, Rajesh Dhania , Vinkal Vishnoi

Active hashing and its application to image and text retrieval Yi Zhen, Dit -Yan Yeung , Published in DMKD Feb 2012. Presented by Arshad Jamal, Rajesh Dhania , Vinkal Vishnoi. Introduction. Computing similarity plays a fundamental role

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Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title : LDPC Code Performance and Complexity Comparing with Convolutional and RS Code Date Submitted: [01 Sept 2009] Source: [Qin Wang ] Company [ University of Science & Technology Beijing ]

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BACK TO SCHOOL NIGHT

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Asymptotic channel capacity of collusion resistant watermarking for non-binary alphabets

91 views • 1 slides