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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 7 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
ATAL
2007
Springer
13 years 11 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
NIPS
2007
13 years 8 months ago
Receptive Fields without Spike-Triggering
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
Jakob Macke, Guenther Zeck, Matthias Bethge
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 8 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
MMM
2010
Springer
154views Multimedia» more  MMM 2010»
13 years 10 months ago
Learning Cooking Techniques from YouTube
Abstract. Cooking is a human activity with sophisticated process. Underlying the multitude of culinary recipes, there exist a set of fundamental and general cooking techniques, suc...
Guangda Li, Richang Hong, Yantao Zheng, Shuicheng ...