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ORCIDMachine Learning, Volume 44, 2001
Volume 44, Number 1/2, July 2001
- Vasant G. Honavar
, Colin de la Higuera:
Introduction. 5-7 - Rajesh Parekh, Vasant G. Honavar:
Learning DFA from Simple Examples. 9-35 - François Denis:
Learning Regular Languages from Simple Positive Examples. 37-66 - Peter Rossmanith, Thomas Zeugmann:
Stochastic Finite Learning of the Pattern Languages. 67-91 - Arlindo L. Oliveira, João P. Marques Silva:
Efficient Algorithms for the Inference of Minimum Size DFAs. 93-119 - David Picó, Francisco Casacuberta:
Some Statistical-Estimation Methods for Stochastic Finite-State Transducers. 121-141 - Juan-Carlos Amengual, Alberto Sanchís, Enrique Vidal, José-Miguel Benedí:
Language Simplification through Error-Correcting and Grammatical Inference Techniques. 143-159 - C. Lee Giles, Steve Lawrence, Ah Chung Tsoi:
Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference. 161-183 - Rafael C. Carrasco, José Oncina, Jorge Calera-Rubio:
Stochastic Inference of Regular Tree Languages. 185-197
Volume 44, Number 3, September 2001
- Peter A. Flach, Saso Dzeroski:
Editorial: Inductive Logic Programming is Coming of Age. 207-209 - Thomas R. Amoth, Paul Cull, Prasad Tadepalli:
On Exact Learning of Unordered Tree Patterns. 211-243 - James Cussens:
Parameter Estimation in Stochastic Logic Programs. 245-271 - Boonserm Kijsirikul, Sukree Sinthupinyo, Kongsak Chongkasemwongse:
Approximate Match of Rules Using Backpropagation Neural Networks. 273-299 - Ashwin Srinivasan:
Extracting Context-Sensitive Models in Inductive Logic Programming. 301-324
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