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JMLR
2008
209views more  JMLR 2008»
15 years 5 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JCS
2002
103views more  JCS 2002»
15 years 4 months ago
Toward Cost-Sensitive Modeling for Intrusion Detection and Response
Intrusion detection systems (IDSs) must maximize the realization of security goals while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion...
Wenke Lee, Wei Fan, Matthew Miller, Salvatore J. S...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 3 months ago
Modeling and decision making in spatio-temporal processes for environmental surveillance
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
DIS
2009
Springer
15 years 2 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
CIKM
2009
Springer
15 years 11 months ago
Cross-language linking of news stories on the web using interlingual topic modelling
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
Wim De Smet, Marie-Francine Moens