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NIPS
2000
13 years 10 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
ICALT
2003
IEEE
14 years 2 months ago
Mobile Learning: A New Paradigm in Electronic Learning
As mobile phone becomes popular in the society and many people can afford the cost, the demand of mobility is extended to teaching and learning purposes. One recent and significan...
Chi-Hong Leung, Yuen-Yan Chan
WEBNET
2000
13 years 10 months ago
Course Design Factors Influencing the Success of Online Learning
: This paper looks at factors affecting the success of asynchronous online learning through an investigation of relationships between student perceptions and course design factors ...
Karen Swan, Peter Shea, Eric Fredericksen, Alexand...
IJAIT
2008
146views more  IJAIT 2008»
13 years 9 months ago
Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning
ion mechanism to create a representation of space consisting of the circular order of detected landmarks and the relative position of walls towards the agent's moving directio...
Lutz Frommberger
ICML
2005
IEEE
14 years 9 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston