171 search results - page 8 / 35 » Classification with guaranteed probability of error |
SIAMJO
2000
13 years 7 months ago
2000
We consider the gradient method xt+1 = xt + t(st + wt), where st is a descent direction of a function f : n and wt is a deterministic or stochastic error. We assume that f is Lip...
JMLR
2008
13 years 7 months ago
2008
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We present two new methods for obtaining generalization error bounds in a semi-supervised setting. Both methods are based on approximating the disagreement probability of pairs of ...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...