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» Learning Object Context for Adaptive Learning Design
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DSS
2008
102views more  DSS 2008»
13 years 9 months ago
Diagnosing decision quality
Human decision making is error-prone and often subject to biases. Important information cues are misweighted and feedback delays hamper learning. Experimentally, task information ...
Michael J. Davern, Ravi Mantena, Edward A. Stohr
IJDAR
2010
169views more  IJDAR 2010»
13 years 7 months ago
A Bayesian network for combining descriptors: application to symbol recognition
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
Sabine Barrat, Salvatore Tabbone
BEHAVIOURIT
2010
13 years 6 months ago
Individual attitude toward improvisation in information systems development
Improvisation is rapidly becoming an important issue for both scholars and practitioners. Organizations that operate in turbulent environments must learn to swiftly adapt and resp...
Massimo Magni, B. Provera, Luigi Proserpio
JAIR
2008
93views more  JAIR 2008»
13 years 8 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
ECCV
2008
Springer
14 years 10 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof