159 search results - page 4 / 32 » Incremental One-Class Learning with Bounded Computational Co... |
SODA
2000
ACM
13 years 8 months ago
2000
ACM
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
ALT
2005
Springer
14 years 4 months ago
2005
Springer
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true ...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth functions, we p...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...