24 search results - page 4 / 5 » Recommendation as a Stochastic Sequential Decision Problem |
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
AIPS
2007
13 years 7 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
JAIR
2008
13 years 5 months ago
2008
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...