12 search results - page 1 / 3 » Reduced Rank Kernel Ridge Regression |
NPL
2002
13 years 10 months ago
2002
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
CSDA
2007
13 years 11 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
ECWEB
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
In the last few years, Facial Expression Synthesis (FES) has been a flourishing area of research driven by applications in character animation, computer games, and human computer ...
AAAI
2011
12 years 11 months ago
2011
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...