7868 search results - page 380 / 1574 » Learning by Answer Sets |
221
Voted
HAIS
2010
Springer
15 years 4 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
205
click to vote
AAAI
2011
14 years 6 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
223
click to vote
ALT
2011
Springer
14 years 6 months ago
2011
Springer
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
211
click to vote
AAAI
2012
13 years 9 months ago
2012
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
192
click to vote
SIGMOD
2004
ACM
16 years 6 months ago
2004
ACM
This paper introduces the Scalable INcremental hash-based Algorithm (SINA, for short); a new algorithm for evaluating a set of concurrent continuous spatio-temporal queries. SINA ...