8 search results - page 1 / 2 » Generalization Error Bounds for Collaborative Prediction wit... |
NIPS
2004
13 years 5 months ago
2004
We prove generalization error bounds for predicting entries in a partially observed matrix by fitting the observed entries with a low-rank matrix. In justifying the analysis appro...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
COLT
2005
Springer
13 years 10 months ago
2005
Springer
We study the rank, trace-norm and max-norm as complexity measures of matrices, focusing on the problem of fitting a matrix with matrices having low complexity. We present generali...
VR
2010
IEEE
13 years 2 months ago
2010
IEEE
A collaborative virtual environment (CVE) allows remote users to access and modify shared data through networks, such as the Internet. However, when the users are connected via th...
ICCAD
2005
IEEE
13 years 10 months ago
2005
IEEE
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...