875 search results - page 100 / 175 » Decision Detection Using Hierarchical Graphical Models |
158
Voted
ESANN
2006
15 years 2 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
123
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NIPS
2008
15 years 3 months ago
2008
Statistical evolutionary models provide an important mechanism for describing and understanding the escape response of a viral population under a particular therapy. We present a ...
130
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
108
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BMCBI
2007
15 years 1 months ago
2007
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
120
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TASE
2008
IEEE
15 years 1 months ago
2008
IEEE
In this paper, we focus on mechanism design for single leader Stackelberg problems, which are a special case of hierarchical decision making problems in which a distinguished agent...