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» Sequential Inductive Learning
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ALT
2006
Springer
14 years 6 months ago
The Complexity of Learning SUBSEQ (A)
Higman showed that if A is any language then SUBSEQ(A) is regular, where SUBSEQ(A) is the language of all subsequences of strings in A. We consider the following inductive inferenc...
Stephen A. Fenner, William I. Gasarch
JMLR
2010
137views more  JMLR 2010»
13 years 4 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
DATE
2003
IEEE
66views Hardware» more  DATE 2003»
14 years 3 months ago
Using RTL Statespace Information and State Encoding for Induction Based Property Checking
This paper focuses on checking safety properties for sequential circuits specified on the RT-level. We study how different state encodings can be used to create a gate-level repr...
Markus Wedler, Dominik Stoffel, Wolfgang Kunz
KBS
2002
106views more  KBS 2002»
13 years 9 months ago
Genetic rule induction at an intermediate level
Lists of if
Ton Weijters, Jan Paredis
AAAI
1996
13 years 11 months ago
Generation of Attributes for Learning Algorithms
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
Yuh-Jyh Hu, Dennis F. Kibler