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141
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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 6 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
109
Voted
JAIR
2011
103views more  JAIR 2011»
14 years 9 months ago
Automated Search for Impossibility Theorems in Social Choice Theory: Ranking Sets of Objects
We present a method for using standard techniques from satisfiability checking to automatically verify and discover theorems in an area of economic theory known as ranking sets o...
C. Geist, Ulrich Endriss
104
Voted
SIGMOD
2003
ACM
119views Database» more  SIGMOD 2003»
16 years 2 months ago
Efficient similarity search and classification via rank aggregation
Ronald Fagin, Ravi Kumar, D. Sivakumar
110
Voted
BMCBI
2005
144views more  BMCBI 2005»
15 years 2 months ago
GeneRank: Using search engine technology for the analysis of microarray experiments
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...