997 search results - page 35 / 200 » Learning Rule Representations from Boolean Data |
AUSAI
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
124
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ICTAI
2008
IEEE
15 years 7 months ago
2008
IEEE
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
137
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SIAMCOMP
2011
14 years 7 months ago
2011
Abstract. In the 2nd Annual FOCS (1961), Chao-Kong Chow proved that every Boolean threshold function is uniquely determined by its degree-0 and degree-1 Fourier coefficients. These...
109
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AI
1998
Springer
15 years 4 months ago
1998
Springer
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...