ILP'99 program

• ILP'99 at a glance
• Session program

ILP'99 at a glance

Thursday, 24 June

09:00 - ILP-99 Welcome

09:15 - 10:30 ILP-99 Invited talk 1 (Heiki Mannila)

10:30 - 11:00 Coffee break

11:00 - 12:30 ILP-99 Session 1 

12:30 - 14:00 Lunch break

14:00 - 15:30 ILP-99 Session 2

15:30 - 16:00 Coffee break

16:00 - 18:00 ILP-99 Session 3 (late-breaking papers)

19:00 ILP-99 Reception (departure for Bled Island) 


Friday, 25 June

09:00 - 10:30 ILP-99 Session 4

10:30 - 11:00 Coffee break

11:00 - 12:30 ILP-99 Session 5

12:30 - 14:00 Lunch break

14:00 - 15:30 ILP-99 Session 6

15:30 - 16:00 Coffee break

16:00 ILP Community meeting
      Meeting of ILPnet2, The ILP Network of Excellence

18:00 ILP-99 Dinner (departure for Radovljica)


Saturday, 26 June

09:15 - 10:30 ILP-99 Invited talk 2 (Daphne Koller)

10:30 - 11:00 Coffee break

11:00 - 12:30 ILP-99 Session 7

12:30 - 14:00 Lunch break

14:00 - 15:30 ILP-99 Session 8

15:30 - 16:00 Coffee break

16:00 - 17:30 ILP-99 Session 9

17:30 Closing address

20:30 Joint ICML-99 and ILP-99 Reception (Grand Hotel Toplice)


Sunday, 27 June
Overlap day with ICML-99 

09:00 ICML-99 Welcome

09:15 - 10:15 Joint ICML-99 and ILP-99 Invited talk
              J. Ross Quinlan: Machine learning elements

10:15 - 10:45 Coffee break

10:45 - 12:25 ICML-99 Session 1

12:25 - 14:00 Lunch break

14:00 - 15:40 ICML-99 Session 2a, 2b

15:40 - 16:00 Coffee break

16:00 - 18:05 ICML-99 Session 3a, 3b

19:00 - 21:00 Joint ICML-99 and ILP-99 Poster session

Session 1: Thursday, 11:00 - 12:30 (Chair: Luc De Raedt)

• Refinement Operators can be (Weakly) Perfect
  Badea, Stanciu

• Refining complete hypotheses in ILP
  Bratko

• Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction
  Bostrom, Asker

Session 2: Thursday, 14:00 - 15:30 (Chair: Francesco Bergadano)

• Combining Lapis and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints
  Kazakov

• Improving part of speech disambiguation rules by adding linguistic knowledge
  Lindberg, Eineborg

• Analogical Prediction
  Muggleton, Bain

Session 3: Thursday, 16:00 - 18:00 (Chair: Peter Flach)

Late-breaking papers session

• Alexin et al: FGT - A Framework for Generating Rule-based Taggers
• Bernard, De la Higuera: GIFT: Grammatical Inference for Terms
• Blockeel et al: Simultaneous prediction of multiple chemical parameters of river water quality with TILDE
• Brockhausen: Learning First Order Rules in INtensive Care Monitoring
• Khardon: Interactive and Batch Learning in ILP
• Lamma et al: Learning Three-Valued Logic Programs
• Lorenzo, Otero: Learning Action Theories with Causality
• MacKinney-Romero: Learning using Higher Order Functions
• Morin, Matwin: Extending LGG to Work in Context
• Nienhuys-Cheng: The Complexities fo a Refinement Operator for Prenex Conjunctive Normal Forms
• Srinivasan: Extraction of cost-sensitive models from ROC curves in Inductive Logic Programming
• Todorovski, Dzeroski: Experiments in meta-level learning with ILP

Session 4: Friday, 9:00 - 10:30 (Chair: Alan Frisch)

• Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning
  Chiba, Ohwada, Mizoguchi

• An assessment of ILP-assisted models for toxicology and the PTE-3 experiment
  Srinivasan, King, Bristol

• Experiments in predicting biodegradability
  Dzeroski, Blockeel, Kompare, Kramer, Pfahringer, Van Laer

Session 5: Friday, 11:00 - 12:30 (Chair: Ashwin Srinivasan)

• Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms
  Nienhuys-Cheng, Van Laer, Ramon, De Raedt

• Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming
  Frisch

• 1BC: a first-order Bayesian classifier
  Flach, Lachiche

Session 6: Friday, 14:00 - 15:30 (Chair: Roni Khardon)

• Some Properties of Inverse Resolution in Normal Logic Programs
  Sakama

• A bounded search space of clausal theories
  Midelfart

• On sufficient conditions for learnability of logic programs from positive data
  Martin, Sharma

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Session 7: Saturday, 11:00 - 12:30 (Chair: Bernhard Pfahringer)

• Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
  Kijsirikul, Sinthupinyo

• Discovering New Knowledge from Graph Data Using Inductive Logic Programming
  Miyahara, Shoudai, Uchida, Kuboyama, Takahashi, Ueda

• Theory Recovery
  Parson, Khan, Muggleton

Session 8: Saturday, 14:00 - 15:30 (Chair: Stephen Muggleton)

• Rule evaluation measures: a unifying view
  Lavrac, Flach, Zupan

• Instance based function learning
  Ramon, De Raedt

• A Strong Complete Schema for Inductive Functional Logic Programming
  Hernandez, Ramirez

Session 9: Saturday, 16:00 - 17:30 (Chair: Henrik Bostrom)

• Application of Different Learning Methods to Hungarian Part-of-speech Tagging
  Horvath, Alexin, Gyimothy, Wrobel

• Morphosyntactic Tagging of Slovene using Progol
  Cussens, Dzeroski, Erjavec

• Learning word segmentation rules for tag prediction
  Kazakov, Manandhar, Erjavec