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» Inductive Inference, DFAs, and Computational Complexity
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AII
1989
13 years 9 months ago
Inductive Inference, DFAs, and Computational Complexity
This paper surveys recent results concerning the inference of deterministic finite automata (DFAs). The results discussed determine the extent to which DFAs can be feasibly inferr...
Leonard Pitt
AGI
2008
13 years 7 months ago
A computational approximation to the AIXI model
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Sergey Pankov
ICGI
2010
Springer
13 years 4 months ago
Rademacher Complexity and Grammar Induction Algorithms: What It May (Not) Tell Us
Abstract. This paper revisits a problem of the evaluation of computational grammatical inference (GI) systems and discusses what role complexity measures can play for the assessmen...
Sophia Katrenko, Menno van Zaanen
CEC
2003
IEEE
13 years 10 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
SEMCO
2007
IEEE
13 years 11 months ago
Corpus-based Pattern Induction for a Knowledge-based Question Answering Approach
In this paper, we present an approach which, given a knowledge base and an appropriate text corpus, automatically induces patterns which can be used to query the knowledge base. W...
Philipp Cimiano, Michael Erdmann, Günter Ladw...