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» Balance Machines: Computing = Balancing
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ICML
1996
IEEE
16 years 5 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ICALT
2008
IEEE
15 years 11 months ago
Using Learning Styles and Preferences to Incorporate Emerging E-Learning Tools in Teaching
Emerging e-learning tools have the potential to enrich academic environments. However, there is a need to understand the requirements, expectations, and learning styles of the end...
Nauman Saeed, Yun Yang
COMPSAC
2002
IEEE
15 years 10 months ago
Achieving Scalability in Hierarchical Location Services
Services for locating mobile objects are often organized as a distributed search tree. The advantage of such an organization is that the service can easily scale as a distributed ...
Maarten van Steen, Gerco Ballintijn
129
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ECML
2007
Springer
15 years 8 months ago
Modeling Highway Traffic Volumes
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
Tomás Singliar, Milos Hauskrecht
ICALT
2009
IEEE
15 years 8 months ago
iGLS: Intelligent Grouping for Online Collaborative Learning
One of the factors that affect successful collaborative learning is the composition of collaborative groups. Due to the lack of intelligent grouping according to learners’ pedag...
Shuangyan Liu, Mike Joy, Nathan Griffiths