129 search results - page 12 / 26 » Abstractive Meeting Summarization as a Markov Decision Proce... |
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
ECSQARU
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...
ICMLA
2009
14 years 7 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
ECAI
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire...
QEST
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...