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» Learning to rank on graphs
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VLDB
2004
ACM
120views Database» more  VLDB 2004»
15 years 3 months ago
Relational link-based ranking
Link analysis methods show that the interconnections between web pages have lots of valuable information. The link analysis methods are, however, inherently oriented towards analy...
Floris Geerts, Heikki Mannila, Evimaria Terzi
AAAI
2012
13 years 6 days ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
ICML
2007
IEEE
15 years 10 months ago
Winnowing subspaces
We generalize the Winnow algorithm for learning disjunctions to learning subspaces of low rank. Subspaces are represented by symmetric projection matrices. The online algorithm ma...
Manfred K. Warmuth
WSDM
2010
ACM
129views Data Mining» more  WSDM 2010»
15 years 7 months ago
Early Exit Optimizations for Additive Machine Learned Ranking Systems
Berkant Barla Cambazoglu, Hugo Zaragoza, Olivier C...
ICEIS
2007
IEEE
15 years 4 months ago
Learning to Rank for Collaborative Filtering
Jean-François Pessiot, Tuong-Vinh Truong, N...