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ICML
2001
IEEE
14 years 10 months ago
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
Bianca Zadrozny, Charles Elkan
ICDIM
2007
IEEE
14 years 4 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
ROBOCUP
2007
Springer
105views Robotics» more  ROBOCUP 2007»
14 years 3 months ago
Probabilistic Decision Making in Robot Soccer
Decision making is an important issue in robot soccer, which has not been investigated deeply enough by the RoboCup research community. This paper proposes a probabilistic approach...
Pablo Guerrero, Javier Ruiz-del-Solar, Gonzalo D&i...
CORR
2008
Springer
94views Education» more  CORR 2008»
13 years 9 months ago
Decision Support with Belief Functions Theory for Seabed Characterization
The seabed characterization from sonar images is a very hard task because of the produced data and the unknown environment, even for an human expert. In this work we propose an ori...
Arnaud Martin, Isabelle Quidu
JBI
2008
155views Bioinformatics» more  JBI 2008»
13 years 9 months ago
Grand challenges in clinical decision support
There is a pressing need for high-quality, effective means of designing, developing, presenting, implementing, evaluating, and maintaining all types of clinical decision support c...
Dean F. Sittig, Adam Wright, Jerome A. Osheroff, B...