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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
16 years 1 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
SIGIR
2009
ACM
16 years 1 months ago
Automatic video tagging using content redundancy
The analysis of the leading social video sharing platform YouTube reveals a high amount of redundancy, in the form of videos with overlapping or duplicated content. In this paper,...
Stefan Siersdorfer, José San Pedro, Mark Sa...
CISS
2008
IEEE
16 years 29 days ago
Channel modeling and detector design for dynamic mode high density probe storage
— Probe based data storage is a promising solution for satisfying the demand for ultra-high capacity storage devices. One of the main problems with probe storage devices is the w...
Naveen Kumar, Pranav Agarwal, Aditya Ramamoorthy, ...
ICASSP
2008
IEEE
16 years 28 days ago
Sequential experimental design for misspecified nonlinear models
In design of experiments for nonlinear regression model identification, the design criterion depends on the unknown parameters to be identified. Classical strategies consist in ...
H. ElAbiad, Laurent Le Brusquet, Marie-Eve Davoust
ICASSP
2008
IEEE
16 years 28 days ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...