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CIKM
2008
Springer
14 years 11 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
110
Voted
ECAI
2004
Springer
15 years 3 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 1 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
15 years 4 months 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
15 years 4 months 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...