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» Regression analysis for massive datasets
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NIPS
2004
13 years 9 months ago
Using the Equivalent Kernel to Understand Gaussian Process Regression
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
Peter Sollich, Christopher K. I. Williams
SAC
2010
ACM
14 years 2 months ago
Feature selection for ordinal regression
Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
ICCV
2007
IEEE
14 years 10 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
ECR
2007
92views more  ECR 2007»
13 years 7 months ago
An integrated model exploring sellers' strategies in eBay auctions
Abstract This paper presents the results of a field study conducted to elucidate critical factors that determine sellers’ net revenue in Internet auctions. Using two datasets of...
Jaeki Song, Jeff Baker
ICDM
2007
IEEE
109views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Support Vector Approach to Censored Targets
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...
Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansch...