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ECIR
2009
Springer
13 years 6 months ago
Active Learning Strategies for Multi-Label Text Classification
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Andrea Esuli, Fabrizio Sebastiani
TSMC
2011
324views more  TSMC 2011»
13 years 4 months ago
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling
—The university course timetabling problem (UCTP) is a combinatorial optimization problem, in which a set of events has to be scheduled into time slots and located into suitable ...
Shengxiang Yang, Sadaf Naseem Jat
CHI
2009
ACM
14 years 9 months ago
Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation
This paper reports on a direct test of social responses to communication technologies theory (SRCT) with mobile messaging. SRCT predicts that people will mindlessly respond to com...
Attapol Thamrongrattanarit, B. J. Fogg, Claire Car...
ICRA
2008
IEEE
188views Robotics» more  ICRA 2008»
14 years 3 months ago
CMDragons: Dynamic passing and strategy on a champion robot soccer team
— After several years of developing multiple RoboCup small-size robot soccer teams, our CMDragons robot team achieved a highly successful level of performance, winning both the 2...
James Bruce, Stefan Zickler, Mmichael Licitra, Man...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 3 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels