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» Generation of Attributes for Learning Algorithms
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ICA
2010
Springer
13 years 8 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
JMLR
2008
100views more  JMLR 2008»
13 years 7 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
ATAL
2007
Springer
14 years 2 months ago
Extending character-based storytelling with awareness and feelings
Most Interactive Storytelling systems developed to date have followed a task-based approach to story representation, using planning techniques to drive the story by generating a s...
David Pizzi, Marc Cavazza, Jean-Luc Lugrin
FCCM
2000
IEEE
162views VLSI» more  FCCM 2000»
14 years 6 days ago
StReAm: Object-Oriented Programming of Stream Architectures Using PAM-Blox
Simplifying the programming models is paramount to the success of reconfigurable computing. We apply the principles of object-oriented programming to the design of stream archite...
Oskar Mencer, Heiko Hübert, Martin Morf, Mich...
IHI
2012
217views Healthcare» more  IHI 2012»
12 years 3 months ago
Declarative privacy policy: finite models and attribute-based encryption
Regulations and policies regarding Electronic Health Information (EHI) are increasingly complex. Federal and State policy makers have called for both education to increase stakeho...
Peifung E. Lam, John C. Mitchell, Andre Scedrov, S...