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CIKM
2008
Springer
15 years 8 months ago
Group-based learning: a boosting approach
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
Weijian Ni, Jun Xu, Hang Li, Yalou Huang
ECAI
2004
Springer
15 years 11 months ago
Boosting Systematic Search by Weighting Constraints
In this paper, we present a dynamic and adaptive variable ordering heuristic which guides systematic search toward inconsistent or hard parts of a Constraint Satisfaction Problem (...
Frédéric Boussemart, Fred Hemery, Ch...
ICASSP
2011
IEEE
14 years 10 months ago
Boosting video classification using cross-video signals
We consider the problem of large-scale video classification. Our attention is focused on online video services since they can provide rich cross-video signals derived from user b...
Mehmet Emre Sargin, Hrishikesh Aradhye
ENC
2008
IEEE
16 years 22 days ago
Possibilistic-Based Argumentation: An Answer Set Programming Approach
In many fields of automated information processing it becomes crucial to consider together imprecise, uncertain or inconsistent information. Argumentation theory is a suitable fr...
Juan Carlos Nieves, Ulises Cortés, Mauricio...
CIKM
2009
Springer
16 years 26 days ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...