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ICML
1994
IEEE
13 years 11 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
BPM
2008
Springer
155views Business» more  BPM 2008»
13 years 10 months ago
The Refined Process Structure Tree
Abstract. We consider workflow graphs as a model for the control flow of a business process model and study the problem of workflow graph parsing, i.e., finding the structure of a ...
Jussi Vanhatalo, Hagen Völzer, Jana Koehler
ECIS
2001
13 years 9 months ago
Knowledge integration processes within the context of enterprise resources planning (ERP) systems implementation
The empirical findings from an organization, which adopted and implemented ERP, are presented. The focus of this empirical research was to understand the nature and processes of k...
Jimmy C. Huang, Sue Newell, Shan Ling Pan, Robert ...
IJMMS
2000
70views more  IJMMS 2000»
13 years 8 months ago
Computer generation of process explanations in nuclear astrophysics
In this paper we describe Astra, a computational aid for generating process explanations in nuclear astrophysics. The system operates in two stages, the rst using knowledge of qua...
Sakir Kocabas, Pat Langley
EDBT
2012
ACM
308views Database» more  EDBT 2012»
11 years 10 months ago
Transactional stream processing
Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query executi...
Irina Botan, Peter M. Fischer, Donald Kossmann, Ne...