Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
33
click to vote
PREMI
2005
Springer
favorite
Email
discuss
report
110
views
Pattern Recognition
»
more
PREMI 2005
»
Approximation Spaces in Machine Learning and Pattern Recognition
14 years 5 months ago
Download
logic.mimuw.edu.pl
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin
Real-time Traffic
Approximation Spaces
|
PREMI 2005
|
Rough Set Approach
|
claim paper
Post Info
More Details (n/a)
Added
28 Jun 2010
Updated
28 Jun 2010
Type
Conference
Year
2005
Where
PREMI
Authors
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swiniarski
Comments
(0)
Researcher Info
Pattern Recognition Study Group
Computer Vision