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» A Probability Model for Combining Ranks
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WWW
2011
ACM
14 years 11 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
ICTIR
2009
Springer
15 years 8 months ago
Optimizing WebPage Interest
Abstract. In the rapidly evolving and growing environment of the internet, web site owners aim to maximize interest for their web site. In this article we propose a model, which co...
Willem Elbers, Theo P. van der Weide
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 10 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...
ICIP
2002
IEEE
16 years 5 months ago
Extraction of semantic objects from still images
In this work, we study the extraction of semantic objects from still images. We combine different ideas to extract them in a structured manner together with a perceptual metric th...
Alvaro Pardo
141
Voted
DSSCV
2005
Springer
15 years 9 months ago
Deep Structure of Images in Populations Via Geometric Models in Populations
We face the question of how to produce a scale space of image intensities relative to a scale space of objects or other characteristic image regions filling up the image space, whe...
Stephen M. Pizer, Ja-Yeon Jeong, Robert E. Broadhu...