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IPMU
2010
Springer
15 years 5 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek
LOGCOM
2010
87views more  LOGCOM 2010»
15 years 5 months ago
Exemplaric Expressivity of Modal Logics
Abstract This paper investigates expressivity of modal logics for transition systems, multitransition systems, Markov chains, and Markov processes, as coalgebras of the powerset, ï...
Bart Jacobs, Ana Sokolova
ICMLA
2009
15 years 4 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ENTCS
2010
103views more  ENTCS 2010»
15 years 4 months ago
A Model and Analysis of the AKAP Scaffold
We study the biochemical processes involved in scaffold-mediated crosstalk between the cAMP and the Raf-1/MEK/ERK pathways. We model the system by a continuous time Markov chain w...
Oana Andrei, Muffy Calder
AAAI
2011
14 years 6 months ago
Policy Gradient Planning for Environmental Decision Making with Existing Simulators
In environmental and natural resource planning domains actions are taken at a large number of locations over multiple time periods. These problems have enormous state and action s...
Mark Crowley, David Poole