1252 search results - page 42 / 251 » Minimizing Learned Clauses |
ML
2010
ACM
14 years 4 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
101
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
MM
2006
ACM
15 years 3 months ago
2006
ACM
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
101
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CP
2010
Springer
14 years 8 months ago
2010
Springer
We present a new complete multi-valued SAT solver, based on current state-of-the-art SAT technology. It features watched literal propagation and conflict driven clause learning. W...
115
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ILP
2007
Springer
15 years 3 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...