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» Using Machine Learning Techniques to Interpret WH-questions
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SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
15 years 2 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
ICML
2007
IEEE
16 years 2 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
ECML
2007
Springer
15 years 5 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
CORR
2002
Springer
117views Education» more  CORR 2002»
15 years 1 months ago
Contextual Normalization Applied to Aircraft Gas Turbine Engine Diagnosis
Diagnosing faults in aircraft gas turbine engines is a complex problem. It involves several tasks, including rapid and accurate interpretation of patterns in engine sensor data. W...
Peter D. Turney, Michael Halasz
ICANN
2010
Springer
15 years 2 months ago
Policy Gradients for Cryptanalysis
So-called Physical Unclonable Functions are an emerging, new cryptographic and security primitive. They can potentially replace secret binary keys in vulnerable hardware systems an...
Frank Sehnke, Christian Osendorfer, Jan Sölte...