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ACL
2009
15 years 2 months ago
Learning to Tell Tales: A Data-driven Approach to Story Generation
Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story gen...
Neil McIntyre, Mirella Lapata
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 11 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 11 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
CODES
2007
IEEE
15 years 10 months ago
Probabilistic performance risk analysis at system-level
We present a novel hybrid approach for performance analysis of a system design. Unlike other approaches in this area, in this paper we do not focus on the determination of pessimi...
Alexander Viehl, Markus Schwarz, Oliver Bringmann,...
CMMR
2005
Springer
138views Music» more  CMMR 2005»
15 years 6 months ago
Music Analysis and Modeling Through Petri Nets
Petri Nets are a formal tool for studying systems that are concurrent, asynchronous, distributed, parallel, nondeterministic, and/or stochastic. They were used in a number of real-...
Adriano Baratè, Goffredo Haus, Luca A. Ludo...