1034 search results - page 117 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
101
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
97
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
96
Voted
ICIRA
2009
Springer
14 years 10 months ago
2009
Springer
Abstract. Two algorithms for area coverage (for use in space applications) were evaluated using a simulator and then tested on a multi-robot society consisting of LEGO Mindstorms r...
81
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...