465 search results - page 44 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
FGR
2008
IEEE
14 years 3 months ago
2008
IEEE
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
AIED
2005
Springer
14 years 2 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...
AMAI
2004
Springer
14 years 2 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...