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» Learning Finite Automata Using Label Queries
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78
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ALT
2005
Springer
15 years 6 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
86
Voted
AAAI
1992
14 years 10 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
81
Voted
SSPR
2000
Springer
15 years 1 months ago
Encoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks
Abstract. Recently, a number of authors have explored the use of recursive recursive neural nets (RNN) for the adaptive processing of trees or tree-like structures. One of the most...
Mikel L. Forcada, Rafael C. Carrasco
119
Voted
DKE
2006
139views more  DKE 2006»
14 years 9 months ago
Information extraction from structured documents using k-testable tree automaton inference
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. Much of the previous work on IE from structured documents, suc...
Raymond Kosala, Hendrik Blockeel, Maurice Bruynoog...
GLVLSI
1996
IEEE
145views VLSI» more  GLVLSI 1996»
15 years 1 months ago
Boolean Function Representation Using Parallel-Access Diagrams
Inthispaperweintroduceanondeterministiccounterpart to Reduced, Ordered Binary Decision Diagrams for the representation and manipulation of logic functions. ROBDDs are conceptually...
Valeria Bertacco, Maurizio Damiani