1020 search results - page 154 / 204 » Learning to Use Operational Advice |
ECML
2005
Springer
14 years 2 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
COLT
1993
Springer
14 years 1 months ago
1993
Springer
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
JMLR
2011
13 years 3 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
ISRR
2005
Springer
14 years 2 months ago
2005
Springer
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
USS
2010
2010
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
13 years 6 months ago
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...