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» Unbundling Active Functionality
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ARTMED
2002
84views more  ARTMED 2002»
13 years 7 months ago
An evaluation of methods for detecting brain activations from functional neuroimages
Ana S. Lukic, Miles N. Wernick, Stephen C. Strothe...
TNN
2010
147views Management» more  TNN 2010»
13 years 2 months ago
Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks
In this paper we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph s...
J. Piersa, Filip Piekniewski, Tomasz Schreiber
JAISE
2010
192views Algorithms» more  JAISE 2010»
13 years 2 months ago
Activity recognition using temporal evidence theory
The ability to identify the behavior of people in a home is at the core of Smart Home functionality. Such environments are equipped with sensors that unobtrusively capture informat...
Susan McKeever, Juan Ye, Lorcan Coyle, Chris Bleak...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 5 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
ECIR
2009
Springer
13 years 5 months ago
Active Learning Strategies for Multi-Label Text Classification
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Andrea Esuli, Fabrizio Sebastiani