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» Learning Models for Ranking Aggregates
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AMR
2006
Springer
96views Multimedia» more  AMR 2006»
15 years 4 months ago
Learning to Retrieve Images from Text Queries with a Discriminative Model
This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval pe...
David Grangier, Florent Monay, Samy Bengio
104
Voted
CIKM
2005
Springer
15 years 2 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
90
Voted
CIKM
2008
Springer
15 years 2 months ago
Suppressing outliers in pairwise preference ranking
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
Vitor R. Carvalho, Jonathan L. Elsas, William W. C...
98
Voted
DAS
2010
Springer
15 years 2 months ago
Overlapped text segmentation using Markov random field and aggregation
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, ...
86
Voted
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 7 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...