83 search results - page 8 / 17 » A Comparison of Approaches for Learning Probability Trees |
62
Voted
ML
2002
ACM
15 years 2 days ago
2002
ACM
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
107
Voted
RAS
2010
14 years 10 months ago
2010
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
94
Voted
CVPR
2001
IEEE
16 years 2 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
136
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AI
2010
Springer
15 years 16 days ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
108
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper proposes a system to relate objects in an image using occlusion cues and arrange them according to depth. The system does not rely on any a priori knowledge of the scen...