-
2
-
-
26744467222
-
Incremental grammatical inference from positive and negative data using unbiased finite state automata. In: Shape, Structure and Pattern Recognition
-
Nahariya (Israel)
-
Alquézar R. et Sanfeliu A. –Incremental grammatical inference from positive and negative data using unbiased finite state automata. In: Shape, Structure and Pattern Recognition, Proc. Int. Workshop on Structural and Syntactic Pattern Recognition, SSPR ’94, Nahariya (Israel), pp. 291-300.–1995.
-
(1995)
Proc. Int. Workshop on Structural and Syntactic Pattern Recognition, SSPR ’94
, pp. 291-300
-
-
Alquézar, R.1
Sanfeliu, A.2
-
3
-
-
84938806379
-
On the synthesis of finite-state machines from samples of their behaviour
-
Biermann A. W. et Feldmann J. A. –On the synthesis of finite-state machines from samples of their behaviour. IEEE Transactions on Computeurs C 21, 1972, pp. 592-597.
-
(1972)
IEEE Transactions on Computeurs C
, vol.21
, pp. 592-597
-
-
Biermann, A.W.1
Feldmann, J.A.2
-
4
-
-
2542448784
-
Regular inference as a graph coloring problem
-
Nashville, TN., USA, juillet
-
Coste F. et Nicolas J. –Regular inference as a graph coloring problem. In: Workshop on Grammar Inference, Automata Induction, and Language Acquisition (ICML ’ 97).–Nashville, TN., USA, juillet 1997.
-
(1997)
Workshop on Grammar Inference, Automata Induction, and Language Acquisition (ICML ’ 97)
-
-
Coste, F.1
Et Nicolas, J.2
-
5
-
-
84974710972
-
State merging inference of finite state classifiers.-Rapport technique n° INRIA/RR-3695
-
septembre
-
Coste F. –State merging inference of finite state classifiers.-Rapport technique n° INRIA/RR-3695, IRISA, septembre 1999.
-
(1999)
IRISA
-
-
Coste, F.1
-
6
-
-
0031144535
-
Characteristic sets for polynomial grammatical inference
-
de la Higuera C. –Characteristic sets for polynomial grammatical inference. Machine Learning, vol. 27, 1997, pp. 125-138.
-
(1997)
Machine Learning
, vol.27
, pp. 125-138
-
-
De La Higuera, C.1
-
9
-
-
0001187706
-
Complexity of automaton identification from given data
-
Gold E. M. –Complexity of automaton identification from given data. Information and Control, vol. 37, 1978, pp. 302-320.
-
(1978)
Information and Control
, vol.37
, pp. 302-320
-
-
Gold, E.M.1
-
10
-
-
0003620778
-
-
N. Reading, MA, Addison-Wesley
-
Hopcroft J. et Ullman J. –Introduction to Automata Theory, Languages, and Computation.–N. Reading, MA, Addison-Wesley, 1980.
-
(1980)
Introduction to Automata Theory, Languages, and Computation
-
-
Hopcroft, J.1
Ullman, J.2
-
11
-
-
0026995322
-
Random dfa’s can be approximately learned from sparse uniform examples
-
Lang K. J. –Random dfa’s can be approximately learned from sparse uniform examples. 5th ACM workshop on Computation Learning Theorie, 1992, pp. 45-52.
-
(1992)
5Th ACM Workshop on Computation Learning Theorie
, pp. 45-52
-
-
Lang, K.J.1
-
12
-
-
84947908042
-
Results of the abbadingo one DFA learning competition and a new evidence-driven state merging algorithm
-
Lang K. J., Pearlmutter B. A. et Price R. A. –Results of the abbadingo one DFA learning competition and a new evidence-driven state merging algorithm. Lecture Notes in Computer Science, vol. 1433, 1998, pp. 1-12.
-
(1998)
Lecture Notes in Computer Science
, vol.1433
, pp. 1-12
-
-
Lang, K.J.1
Pearlmutter, B.A.2
Price, R.A.3
-
16
-
-
0010529494
-
Learning non-deterministic finite automata from queries and counterexamples
-
Yokomori T. –Learning non-deterministic finite automata from queries and counterexamples. Machine Intelligence, vol. 13, 1994, pp. 169-189.
-
(1994)
Machine Intelligence
, vol.13
, pp. 169-189
-
-
Yokomori, T.1
|