1435 search results - page 18 / 287 » Generalization Error Bounds Using Unlabeled Data |
JMLR
2002
13 years 8 months ago
2002
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
ML
2010
ACM
13 years 3 months ago
2010
ACM
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
DAGSTUHL
2008
13 years 10 months ago
2008
This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
JMLR
2008
13 years 8 months ago
2008
This paper introduces a new PAC transductive error bound for classification. The method uses information from the training examples and inputs of working examples to develop a set...
MOC
2002
13 years 8 months ago
2002
Dimensionally unbounded problems are frequently encountered in practice, such as in simulations of stochastic processes, in particle and light transport problems and in the problem...