3643 search results - page 506 / 729 » Learning Submodular Functions |
164
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IJCNN
2006
IEEE
16 years 20 days ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
192
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SIGIR
2006
ACM
16 years 17 days ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
185
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EUROCOLT
1997
Springer
15 years 10 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
164
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ML
2008
ACM
15 years 6 months ago
2008
ACM
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
226
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ML
2008
ACM
15 years 6 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...