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» The Behavior of Tutoring Systems
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AIR
2006
107views more  AIR 2006»
15 years 6 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
IANDC
2008
128views more  IANDC 2008»
15 years 6 months ago
Rule-based static analysis of network protocol implementations
Today's software systems communicate over the Internet using standard protocols that have been heavily scrutinized, providing some assurance of resistance to malicious attack...
Octavian Udrea, Cristian Lumezanu, Jeffrey S. Fost...
CORR
2006
Springer
145views Education» more  CORR 2006»
15 years 6 months ago
MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback
Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver su...
Niranjay Ravindran, Nihar Jindal
EOR
2006
58views more  EOR 2006»
15 years 6 months ago
Bucket brigades revisited: Are they always effective?
Previous work on the dynamics of bucket brigades has focused on systems in which workers can be ordered with respect to their speeds and where this ordering does not change throug...
Dieter Armbruster, Esma Senturk Gel
IJET
2008
108views more  IJET 2008»
15 years 6 months ago
Moving towards a Fully Automatic Knowledge Assessment Tool
Information about a student's level or state of knowledge is a key aspect for efficient, personalized learning activities. E-learning systems gain such information in two ways...
Christian Guetl
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