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DAGM
2007
Springer
16 years 1 months ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
SIGIR
2006
ACM
16 years 24 days ago
Learning to advertise
Content-targeted advertising, the task of automatically associating ads to a Web page, constitutes a key Web monetization strategy nowadays. Further, it introduces new challenging...
Anísio Lacerda, Marco Cristo, Marcos Andr&e...
AIED
2005
Springer
16 years 12 days ago
Assessing and Scaffolding Collaborative Learning in Online Discussions
: In this paper we present two computational approaches that can be used characterize and measure online threaded discussions and demonstrate that they can objectively validate stu...
Erin Shaw
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
16 years 11 days ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
ICCBR
2005
Springer
16 years 11 days ago
Advertising Strategies: Learning Competence through Cooperative Game Playing
In this paper we consider the competition on the Internet between information providers to maximise their exposure to a relevant audience. Spammers and Search engine gamers adopt a...
Paolo Avesani, Conor Hayes