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» Decision Trees for Uncertain Data
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AIMSA
2000
Springer
13 years 8 months ago
Classification with Belief Decision Trees
Abstract. Decision trees are considered as an efficient technique to express classification knowledge and to use it. However, their most standard algorithms do not deal with uncert...
Zied Elouedi, Khaled Mellouli, Philippe Smets
KBSE
2000
IEEE
13 years 9 months ago
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
Tim Menzies, Erik Sinsel
SDM
2008
SIAM
197views Data Mining» more  SDM 2008»
13 years 6 months ago
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
ICML
2007
IEEE
14 years 5 months ago
Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
Erick Delage, Shie Mannor
COGSCI
2006
127views more  COGSCI 2006»
13 years 4 months ago
Decision Making and Confidence Given Uncertain Advice
We study human decision making in a simple forced-choice task that manipulates the frequency and accuracy of available information. Empirically, we find that people make decisions...
Michael D. Lee, Matthew J. Dry