July 12, 1998
8:00am - 10:00am Registration
10:00am Welcome
10:15am Results of the Abbadingo One DFA Learning Competition and a New
Evidence Driven State Merging Algorithm.
K.J. Lang, B.A. Pearlmutter and R. Price
10:40am Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data.
P. Rossmanith and T. Zeugmann
11:05am - 11:10am Break
11:10am Why Meaning Helps Learning Syntax.
I. Tellier
11:35am A Polynomial Time Incremental Algorithm for Learning DFA.
R. Parekh, C. Nichitu and V. Honavar
12:00noon - 1:30pm Lunch
1:30pm - 3:30pm Tutorial: Kolmogorov Complexity and its Applications.
J. Lutz
3:30pm - 3:40pm Break
3:40pm The Data Driven Approach Applied to the OSTIA Algorithm.
J. Oncina
4:05pm Grammar Model and Grammar Induction in the System NL Page.
V. Keselj
8:45am - 9:00am Announcements
9.00am Approximate Learning of Random Subsequential Transducers.
A. Castellanos
9:25am Learning Stochastic Finite Automata from Experts.
C. de la Higuera.
9:50am Learning a Determinisitic Finite Automaton with a Recurrent Neural Network
L. Firoiu, T. Oates, and P. R. Cohen
10:15am Applying Grammatical Inference by Learning a Language Model for
Oral Dialogue.
J. Chodorowski and L. Miclet
10:40am - 10:45am Break
10:45am - 12:00noon Invited Talk: Natural Language Learning
J. Feldman.
12:00noon - 1:30pm Lunch
1:30pm A Stochastic Search Approach to Grammar Induction.
H. Juille and J. Pollack
1:55pm Transducer-learning Experiments on Language Understanding.
D. Picó and E. Vidal
2:20pm - 2:25pm Break
2:25pm Locally Threshold Testable Languages in Strict Sense: Application to the Inference Problem.
J. Ruiz, S. Espana, and P. Garcia
2:50pm Learning a Subclass of Linear Languages from Positive Structural Information.
J. Sempere and G. Nagaraja
3:15pm Grammatical Inference in Document Recognition
A. Saidi and S. Tayeb-bey
3:40pm - 3:45pm Break
3:45pm Stochastic Regular Tree Language Inference.
R. C. Carrasco, J. Oncina and J. Calera
4:10pm How Considering Icompatible State Mergings May Reduce the DFA
Induction Search Tree.
F. Coste and J. Nicolas
6:30pm - 9:00pm Banquet
9:00am Learning Regular Grammars to Model Musical Style: Comparing
Different Coding Schemes
P. Cruz-Alcazar and E. Vidal-Ruiz
9:25am Learning a Subclass of Context-Free Languages.
J. Emerald, K. Subramanian, and D. Thomas
9:50am Using Symbol Clustering to Improve Probabilistic Automaton Inference
P. Dupont and L. Chase
10:15am A Performance Evaluation of automatic Survey Classifiers.
P. Viechnicki
10:40am - 10:45am Break
10:45am - 12:00noon Invited Talk: Pattern Discovery in Biosequences.
A. Brazma.