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» Label Ranking Methods based on the Plackett-Luce Model
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ICCPOL
2009
Springer
14 years 9 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
IR
2010
14 years 10 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
14 years 10 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev
ICML
2008
IEEE
16 years 13 days ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell