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» Large-scale extraction and use of knowledge from text
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ECML
2007
Springer
15 years 3 months ago
Decision Tree Instability and Active Learning
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
Kenneth Dwyer, Robert Holte
DIAGRAMS
2004
Springer
15 years 3 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
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...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
ISLPED
2003
ACM
138views Hardware» more  ISLPED 2003»
15 years 3 months ago
An environmental energy harvesting framework for sensor networks
Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. However, environmental energy will typically no...
Aman Kansal, Mani B. Srivastava
CIKM
2009
Springer
15 years 2 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
SEMWEB
2009
Springer
15 years 2 months ago
Supporting Multi-view User Ontology to Understand Company Value Chains
The objective of the Market Blended Insight (MBI) project is to develop web based techniques to improve the performance of UK Business to Business (B2B) marketing activities. The a...
Landong Zuo, Manuel Salvadores, S. M. Hazzaz Imtia...