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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 8 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
ML
2007
ACM
130views Machine Learning» more  ML 2007»
13 years 9 months ago
Interactive learning of node selecting tree transducer
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
Julien Carme, Rémi Gilleron, Aurélie...
ICMI
2003
Springer
116views Biometrics» more  ICMI 2003»
14 years 3 months ago
Interactive skills using active gaze tracking
We have incorporated interactive skills into an active gaze tracking system. Our active gaze tracking system can identify an object in a cluttered scene that a person is looking a...
Rowel Atienza, Alexander Zelinsky
ICPR
2004
IEEE
14 years 11 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin