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» Learning with Kernels and Logical Representations
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ISMB
1993
14 years 7 days 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...
ILP
2004
Springer
14 years 4 months ago
Macro-Operators Revisited in Inductive Logic Programming
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
Érick Alphonse
ICML
2007
IEEE
14 years 11 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
OWLED
2007
14 years 10 days ago
Reasoning with OWL-DL in Inductive Logic Programming
The use of background knowledge and the adoption of Horn clausal logic as a knowledge representation and reasoning framework are the distinguishing features of Inductive Logic Prog...
Francesca A. Lisi
WSOM
2009
Springer
14 years 5 months ago
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties
In our earlier work, we found that feature space induced by tactile receptive fields (TRFs) are better than that by visual receptive fields (VRFs) in texture boundary detection t...
Choonseog Park, Heeyoul Choi, Yoonsuck Choe