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» Sequential Inductive Learning
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ALT
2006
Springer
15 years 9 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
124
Voted
JMLR
2010
137views more  JMLR 2010»
14 years 7 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
88
Voted
DATE
2003
IEEE
66views Hardware» more  DATE 2003»
15 years 6 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
118
Voted
KBS
2002
106views more  KBS 2002»
15 years 14 days ago
Genetic rule induction at an intermediate level
Lists of if
Ton Weijters, Jan Paredis
87
Voted
AAAI
1996
15 years 2 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