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EOR
2008
74views more  EOR 2008»
13 years 11 months ago
From decision theory to decision aiding methodology
The paper presents the author's partial and personal historical reconstruction of how decision theory is evolving to a decision aiding methodology. The presentation shows mai...
Alexis Tsoukiàs
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
14 years 2 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 11 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
ICIP
1999
IEEE
15 years 14 days ago
Perceptual Grouping of 3-D Features in Aerial Image Using Decision Tree Classifier
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...
In Kyu Park, Kyoung Mu Lee, Sang Uk Lee
ATAL
2006
Springer
14 years 2 months ago
Decentralized planning under uncertainty for teams of communicating agents
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....