408 search results - page 38 / 82 » Regression with Linear Factored Functions |
101
Voted
ACL
2006
14 years 11 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
MICCAI
2003
Springer
15 years 11 months ago
2003
Springer
A robust and automatic system has been developed to detect the visual axis and extract important feature landmarks from slit-lamp photographs, and objectively grade the severity of...
ICALP
2001
Springer
15 years 2 months ago
2001
Springer
We consider the problem of enumerating all minimal integer solutions of a monotone system of linear inequalities. We first show that for any monotone system of r linear inequaliti...
96
Voted
ECML
2004
Springer
15 years 3 months ago
2004
Springer
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
81
Voted
RECOMB
2003
Springer
15 years 10 months ago
2003
Springer
Background: Transcriptional regulation in eukaryotes often involves multiple transcription factors binding to the same transcription control region, and to understand the regulato...