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ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
We consider the task of learning to accurately follow a trajectory in a vehicle such as a car or helicopter. A number of dynamic programming algorithms such as Differential Dynami...
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ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...