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JELIA
2004
Springer
15 years 11 months ago
Hierarchical Decision Making by Autonomous Agents
Abstract. Often, decision making involves autonomous agents that are structured in a complex hierarchy, representing e.g. authority. Typically the agents share the same body of kno...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir
IJCAI
2003
15 years 7 months ago
A New Look at the Semantics and Optimization Methods of CP-Networks
Preference elicitation is a serious bottleneck in many decision support applications and agent specification tasks. CP-nets were designed to make the preference elicitation proces...
Ronen I. Brafman, Yannis Dimopoulos
IJCAI
2003
15 years 7 months ago
On the Foundations of Expected Expected Utility
Intelligent agents often need to assess user utility functions in order to make decisions on their behalf, or predict their behavior. When uncertainty exists over the precise natu...
Craig Boutilier
ICDE
2011
IEEE
240views Database» more  ICDE 2011»
14 years 10 months ago
Similarity measures for multidimensional data
— How similar are two data-cubes? In other words, the question under consideration is: given two sets of points in a multidimensional hierarchical space, what is the distance val...
Eftychia Baikousi, Georgios Rogkakos, Panos Vassil...
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 8 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman