3694 search results - page 42 / 739 » Stochastic complexity in learning |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
EVOW
2007
Springer
13 years 11 months ago
2007
Springer
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...
MP
2006
13 years 7 months ago
2006
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...