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ITS
2010
Springer
165views Multimedia» more  ITS 2010»
15 years 5 months ago
Metacognition and Learning in Spoken Dialogue Computer Tutoring
We investigate whether four metacognitive metrics derived from student correctness and uncertainty values are predictive of student learning in a fully automated spoken dialogue co...
Katherine Forbes-Riley, Diane J. Litman
118
Voted
ICML
2007
IEEE
16 years 1 months ago
Cross-domain transfer for reinforcement learning
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
Matthew E. Taylor, Peter Stone
109
Voted
CIKM
2010
Springer
14 years 11 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
121
Voted
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
15 years 4 months ago
Advanced Metrics for Class-Driven Similarity Search
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci
90
Voted
JCIT
2008
112views more  JCIT 2008»
15 years 13 days ago
On the design of metric relations
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
Lluís Belanche, Jorge Orozco