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CIKM
2010
Springer
14 years 10 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
JMLR
2002
157views more  JMLR 2002»
14 years 11 months ago
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Alexander Strehl, Joydeep Ghosh
89
Voted
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 4 days ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
UAI
1997
15 years 1 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
SIGMOD
1995
ACM
116views Database» more  SIGMOD 1995»
15 years 3 months ago
Incremental Maintenance of Views with Duplicates
We study the problem of e cient maintenance of materialized views that may contain duplicates. This problem is particularly important when queries against such views involve aggre...
Timothy Griffin, Leonid Libkin