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ICPR
2004
IEEE
14 years 11 months ago
Learning Spatial Context from Tracking using Penalised Likelihoods
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
Hammadi Nait-Charif, Stephen J. McKenna
ICRA
2008
IEEE
156views Robotics» more  ICRA 2008»
14 years 4 months ago
Consensus learning for distributed coverage control
— A decentralized controller is presented that causes a network of robots to converge to a near optimal sensing configuration, while simultaneously learning the distribution of ...
Mac Schwager, Jean-Jacques E. Slotine, Daniela Rus
WMTE
2006
IEEE
14 years 4 months ago
JAMIOLAS: Supporting Japanese Mimicry and Onomatopoeia Learning with Sensors
  This  paper  proposes  a  computer  supported  ubiquitous  learning  environment  for  language  learning.  Especially,  this  paper  describes  context­  awar...
Hiroaki Ogata, Chengjiu Yin, Yoneo Yano
COGSYS
2005
Springer
14 years 3 months ago
Challenges in Search and Usage of Multi-media Learning Objects
Abstract. The definition, assembly and manipulation of learning objects is becoming more and more popular in learning environments. But despite standardization efforts their approp...
Erica Melis, Ruimin Shen, Jörg H. Siekmann, C...
KES
2005
Springer
14 years 3 months ago
Learning Within the BDI Framework: An Empirical Analysis
One of the limitations of the BDI (Belief-Desire-Intention) model is the lack of any explicit mechanisms within the architecture to be able to learn. In particular, BDI agents do n...
Toan Phung, Michael Winikoff, Lin Padgham