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ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
15 years 5 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
IJCV
2011
264views more  IJCV 2011»
15 years 2 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
JOCN
2011
78views more  JOCN 2011»
15 years 2 months ago
Changes in Cerebello-motor Connectivity during Procedural Learning by Actual Execution and Observation
■ The cerebellum is involved in motor learning of new procedures both during actual execution of a motor task and during observational training. These processes are thought to d...
Sara Torriero, Massimiliano Oliveri, Giacomo Koch,...
216
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IFIP
2010
Springer
15 years 2 months ago
Combining Software and Hardware LCS for Lightweight On-Chip Learning
In this paper we present a novel two-stage method to realize a lightweight but very capable hardware implementation of a Learning Classifier System for on-chip learning. Learning C...
Andreas Bernauer, Johannes Zeppenfeld, Oliver Brin...
CHI
2007
ACM
16 years 8 months ago
Storytelling alice motivates middle school girls to learn computer programming
We describe Storytelling Alice, a programming environment that introduces middle school girls to computer programming as a means to the end of creating 3D animated stories. Storyt...
Caitlin Kelleher, Randy F. Pausch, Sara B. Kiesler