5109 search results - page 24 / 1022 » On Learning Limiting Programs |
SIGECOM
2009
ACM
14 years 4 months ago
2009
ACM
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
JMLR
2012
12 years 9 days ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
ANOR
2011
13 years 4 months ago
2011
A vital task facing government agencies and commercial organizations that report data is to represent the data in a meaningful way and simultaneously to protect the confidentialit...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
: In this paper we present several algorithmic techniques for inferring the structure of a company when only a limited amount of information is available. We consider problems with...
COLT
1999
Springer
14 years 2 months ago
1999
Springer
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...