766 search results - page 1 / 154 » Variations on U-Shaped Learning |
ECTEL
2007
Springer
13 years 10 months ago
2007
Springer
Today, systems should react based on explicit demands from the learner or even proactively react based on changes in the working environment. The success of this type of systems de...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
ML
2012
ACM
12 years 3 days ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
COLT
2005
Springer
13 years 10 months ago
2005
Springer
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements t...