966 search results - page 50 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
187
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
129
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ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
130
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ISSTA
2009
ACM
15 years 8 months ago
2009
ACM
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
110
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
131
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IJON
2008
15 years 26 days ago
2008
The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) comple...