16 search results - page 2 / 4 » Incremental learning with partial instance memory |
AUSAI
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
AAAI
2011
12 years 5 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
ICRA
2002
IEEE
13 years 10 months ago
2002
IEEE
— When using appearance-based recognition for self-localization of mobile robots, the images obtained during the exploration of the environment need to be efficiently stored in t...
ICPR
2010
IEEE
13 years 4 months ago
2010
IEEE
In many computer vision tasks, scene changes hinder the generalization ability of trained classifiers. For instance, a human detector trained with one set of images is unlikely t...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...