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» Using model knowledge for learning inverse dynamics
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112
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ISMB
1993
15 years 3 months ago
Representation for Discovery of Protein Motifs
There are several dimensions and levels of complexity in which information on protein motifs may be available. For example, onedimensional sequence motifs may be associated with s...
Darrell Conklin, Suzanne Fortier, Janice I. Glasgo...
134
Voted
IEEEARES
2008
IEEE
15 years 9 months ago
Context Ontology for Secure Interoperability
During interoperability exchanges, organizations are jointly conducting computation and sharing tasks. However, organizations can have different security policies. To guarantee g...
Céline Coma, Nora Cuppens-Boulahia, Fr&eacu...
GD
2006
Springer
15 years 6 months ago
Upright-Quad Drawing of st -Planar Learning Spaces
We consider graph drawing algorithms for learning spaces, a type of st-oriented partial cube derived from an antimatroid and used to model states of knowledge of students. We show...
David Eppstein
SIGMOD
2009
ACM
185views Database» more  SIGMOD 2009»
16 years 2 months ago
Attacks on privacy and deFinetti's theorem
In this paper we present a method for reasoning about privacy using the concepts of exchangeability and deFinetti's theorem. We illustrate the usefulness of this technique by...
Daniel Kifer
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 8 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He