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CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 7 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
CONSTRAINTS
2008
95views more  CONSTRAINTS 2008»
15 years 7 months ago
Efficient Sequence Alignment with Side-Constraints by Cluster Tree Elimination
Aligning DNA and protein sequences is a core technique in molecular biology. Often, it is desirable to include partial prior knowledge and conditions in an alignment. Going beyond...
Sebastian Will, Anke Busch, Rolf Backofen
CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 7 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
CORR
2008
Springer
89views Education» more  CORR 2008»
15 years 7 months ago
Idiotypic Immune Networks in Mobile Robot Control
Jerne's idiotypic-network theory postulates that the immune response involves interantibody stimulation and suppression, as well as matching to antigens. The theory has proved...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
CORR
2008
Springer
100views Education» more  CORR 2008»
15 years 7 months ago
Statistical region-based active contours with exponential family observations
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric ...
François Lecellier, Stéphanie Jehan-...
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