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IBERAMIA
2004
Springer
15 years 10 months ago
Mobile Robotic Supported Collaborative Learning (MRSCL)
In this paper we describe MRSCL Geometry a collaborative educational activity that explores the use of robotic technology and wirelessly connected Pocket PCs as tools for teaching ...
Rubén Mitnik, Miguel Nussbaum, Alvaro Soto
ASWEC
2000
IEEE
15 years 9 months ago
Formal Requirements Engineering: Learning from the Students
Formal methods are becoming increasingly important in many areas of software development and should be incorporated in the teaching of software engineering. Requirements capture i...
J. Paul Gibson
UAI
1998
15 years 6 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
145
Voted
IJAR
2010
113views more  IJAR 2010»
15 years 3 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
171
Voted
AIIDE
2009
15 years 2 months ago
IMPLANT: An Integrated MDP and POMDP Learning AgeNT for Adaptive Games
This paper proposes an Integrated MDP and POMDP Learning AgeNT (IMPLANT) architecture for adaptation in modern games. The modern game world basically involves a human player actin...
Chek Tien Tan, Ho-Lun Cheng