194 search results - page 4 / 39 » Factorization with Uncertainty |
ACL
2003
13 years 11 months ago
2003
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
SIGGRAPH
2010
ACM
14 years 2 months ago
2010
ACM
We introduce methods for optimizing physics-based walking controllers for robustness to uncertainty. Many unknown factors, such as external forces, control torques, and user contr...
EMO
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
CIMCA
2008
IEEE
14 years 4 months ago
2008
IEEE
Heart disease continues to be leading cause of morbidity and mortality among adults all over the world. Cardiac risk factor assessment requires a classification system that is rob...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...