721 search results - page 8 / 145 » Label Ranking Methods based on the Plackett-Luce Model |
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ML
2010
ACM
14 years 10 months ago
2010
ACM
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
NIPS
2007
15 years 1 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
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TSD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Evaluation is one of the hardest tasks in automatic text summarization. It is perhaps even harder to determine how much a particular component of a summarization system c...
EMNLP
2009
14 years 9 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
NIPS
2004
15 years 1 months ago
2004
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...