2750 search results - page 71 / 550 » The complexity of learning SUBSEQ(A) |
211
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ILP
2007
Springer
16 years 9 days ago
2007
Springer
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
213
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
173
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AAAI
1993
15 years 7 months ago
1993
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
152
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JFR
2006
15 years 6 months ago
2006
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
143
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously Ncat = 104 -...