1864 search results - page 76 / 373 » Modeling Classification and Inference Learning |
113
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...
140
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CORR
2012
Springer
13 years 8 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
94
Voted
ALT
2003
Springer
15 years 4 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
110
Voted
IROS
2006
IEEE
15 years 6 months ago
2006
IEEE
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
103
Voted
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...