49 search results - page 2 / 10 » An Analysis of Bayesian Network Model-Approximation Techniqu... |
AIED
2005
Springer
13 years 10 months ago
2005
Springer
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...
ICUMT
2009
13 years 2 months ago
2009
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
BMCBI
2010
13 years 5 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
FLAIRS
2004
13 years 6 months ago
2004
One fascinating aspect of tool building for datamining is the application of a generalized datamining tool to a specific domain. Often times, this process results in a cross disci...
ML
2006
ACM
13 years 4 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...