31 search results - page 3 / 7 » Postprocessing Decision Trees to Extract Actionable Knowledg... |
IJPRAI
2002
13 years 6 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
DIAGRAMS
2004
Springer
14 years 2 days ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
AAAI
2006
13 years 8 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...