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UAI
1998
13 years 9 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
ITICSE
2006
ACM
14 years 2 months ago
Implementing the jigsaw model in CS1 closed labs
We apply the Jigsaw cooperative learning model to our CS1 closed labs. The Jigsaw cooperative learning model assigns students into main groups in which each group member is respon...
Leen-Kiat Soh
CHI
2009
ACM
14 years 9 months ago
Learning design principles for a collaborative information seeking system
While collaboration is a natural choice in many situations, there is a lack of specialized tools for collaboratively seeking information. We present design specifications and impl...
Chirag Shah, Gary Marchionini, Diane Kelly
CP
2004
Springer
14 years 1 months ago
Decomposition and Learning for a Hard Real Time Task Allocation Problem
Abstract. We present a cooperation technique using an accurate management of nogoods to solve a hard real-time problem which consists in assigning periodic tasks to processors in t...
Hadrien Cambazard, Pierre-Emmanuel Hladik, Anne-Ma...
IUI
1999
ACM
14 years 19 days ago
Multi-Agent Learning Approach to WWW Information Retrieval Using Neural Network
er has outlined the potential of multiagent framework for decision support. From an abstract point of view, the concept of an agent has been used as modularization principle for th...
Yong S. Choi, Suk I. Yoo