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» Learning Business Process Models: A Case Study
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ICML
2001
IEEE
16 years 5 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
129
Voted
SOCO
2005
Springer
15 years 10 months ago
Stateful Aspects in JAsCo
Aspects that trigger on a sequence of join points instead of on a single join point are not explicitly supported in current AspectOriented approaches. Explicit protocols are howeve...
Wim Vanderperren, Davy Suvée, María ...
115
Voted
AAAI
2006
15 years 6 months ago
Hard Constrained Semi-Markov Decision Processes
In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
Wai-Leong Yeow, Chen-Khong Tham, Wai-Choong Wong
147
Voted
AICCSA
2008
IEEE
222views Hardware» more  AICCSA 2008»
15 years 6 months ago
Managing access and flow control requirements in distributed workflows
Abstract. Workflows are operational business processes. Workfow Management Systems (WFMS) are concerned with the control and coordination of these workflows. In recent years, there...
Samiha Ayed, Nora Cuppens-Boulahia, Fréd&ea...
166
Voted
PAMI
2010
170views more  PAMI 2010»
15 years 3 months ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva