2490 search results - page 101 / 498 » Complexity of Contextual Reasoning |
158
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TARK
2009
Springer
15 years 11 months ago
2009
Springer
The logical omniscience feature assumes that an epistemic agent knows all logical consequences of her assumptions. This paper offers a general theoretical framework that views log...
142
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ILP
2004
Springer
15 years 9 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
123
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ILP
2003
Springer
15 years 9 months ago
2003
Springer
We study several complexity parameters for first order formulas and their suitability for first order learning models. We show that the standard notion of size is not captured by...
136
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BMVC
2002
15 years 6 months ago
2002
The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many dispar...
127
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AAAI
1994
15 years 5 months ago
1994
This paper presents a novel approach to diagnosis which addresses the two problems - computational complexity of abduction and device models - that have prevented model-based diag...