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SIGIR
2012
ACM
13 years 5 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 8 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
AIIDE
2009
15 years 3 months ago
Optimization of Platform Game Levels for Player Experience
We demonstrate an approach to modelling the effects of certain parameters of platform game levels on the players' experience of the game. A version of Super Mario Bros has be...
Chris Pedersen, Julian Togelius, Georgios N. Yanna...
127
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WWW
2008
ACM
16 years 3 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
STORYTELLING
2005
Springer
15 years 8 months ago
Environment Expression: Telling Stories Through Cameras, Lights and Music
This work proposes an integrated model – the environment expression model – which supports storytelling through three channels: cinematography, illumination and music. Stories ...
Celso de Melo, Ana Paiva