'Bayesian filtering' diaporamas de présentation

CPE/CSC 481: Knowledge-Based Systems

CPE/CSC 481: Knowledge-Based Systems. Dr. Franz J. Kurfess Computer Science Department Cal Poly. Introduction Knowledge Representation Semantic Nets, Frames, Logic Reasoning and Inference Predicate Logic, Inference Methods, Resolution Reasoning with Uncertainty

490 views • 33 slides

CPE/CSC 481: Knowledge-Based Systems

CPE/CSC 481: Knowledge-Based Systems. Dr. Franz J. Kurfess Computer Science Department Cal Poly. Introduction Knowledge Representation Semantic Nets, Frames, Logic Reasoning and Inference Predicate Logic, Inference Methods, Resolution Reasoning with Uncertainty

335 views • 33 slides

Optimal Filtering of Jump Diffusions: Extracting Latent States from Asset Prices

Optimal Filtering of Jump Diffusions: Extracting Latent States from Asset Prices. Jonathan Stroud, Wharton, U. Pennsylvania Stern-Wharton Conference on Statistics in Business April 28 th , 2006 Joint work with Mike Johannes (GSB, Columbia) and Nick Polson (GSB, Chicago). Overview.

436 views • 31 slides

Fighting Spam

362 views • 19 slides

Project Presentation

Project Presentation. B92902041 ??? B92902051 ??? B92902092 ??? B92902095 ???. Outline. Spam filter technology Personal issue Statistic Our approaching. Spam filtering technology. basic structured text filters whitelist/verification filters distributed blacklists Pyzor

201 views • 19 slides

Combating Spam Server-side

Combating Spam Server-side. Purpose : to provide insight into the steps an organization can take to close the Spam Floodgates. Introduction. Working in the IT sector since 1996 Specialty is Network Solutions and Wireless (NYCwireless) My E-mail Address (source on my website) :

259 views • 12 slides