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
38
click to vote
NIPS
2007
favorite
Email
discuss
report
147
views
Information Technology
»
more
NIPS 2007
»
How SVMs can estimate quantiles and the median
14 years 9 days ago
Download
books.nips.cc
We investigate quantile regression based on the pinball loss and the ǫ-insensitive loss. For the pinball loss a condition on the data-generating distribution P is given that ensures that the conditional quantiles are approximated with respect to
Andreas Christmann, Ingo Steinwart
Real-time Traffic
Information Technology
|
NIPS 2007
|
ǫ-insensitive Loss
|
Pinball Loss
|
Quantile Regression
|
claim paper
Related Content
»
Nonlinear Quantile Regression Estimation of Longitudinal Data
»
Kernel Conditional Quantile Estimation via Reduction Revisited
»
The PSquare Algorithm for Dynamic Calculation of Percentiles and Histograms without Storin...
»
Using quantile estimates in simulating internet queues with Pareto service times
»
Computing the least quartile difference estimator in the plane
»
Quality of service statistics over heterogeneous networks Analysis and applications
»
A probetreatmentreference PTR model for the analysis of oligonucleotide expression microar...
»
Deterministic sampling and range counting in geometric data streams
»
Bayesian Methods for Support Vector Machines Evidence and Predictive Class Probabilities
more »
Post Info
More Details (n/a)
Added
30 Oct 2010
Updated
30 Oct 2010
Type
Conference
Year
2007
Where
NIPS
Authors
Andreas Christmann, Ingo Steinwart
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision