Pat Langley
Institute for the Study of Learning and Expertise
2164 Staunton Court
Palo Alto, CA 94306
langley@csli.stanford.edu
Phone:
FAX :

Meetings:



Symposium on Computational Discovery of Communicable Knowledge, March 24-25, 2001.

Meeting Schedule
Saturday, March 24
• 9:00 AM / Pat Langley / Welcome and Introduction
  
• 9:45 AM / Bruce Buchanan & Joseph Phillips / Introducing Semantics into Machine Learning
  
• 10:30 AM / Morning Break
  
• 11:00 AM / Saso Dzeroski / Discovering Ordinary and Partial Differential Equations
  
• 11:45 AM / Takashi Washio / Conditions on Law Equations as Communicable Knowledge
  
• 12:30 PM / Lunch Break
  
• 2:00 PM / Mark Schwabacher / Discovering Communicable Scientific Knowledge from Spatio-Temporal Data in Earth Science
  
• 2:45 PM / Kazumi Saito / Improving an Ecosystem Model Using Earth Science Data
  
• 3:30 PM / Afternoon Break
  
• 4:00 PM / Ljupco Todorovski / Using Background Knowledge in Differential Equations Discovery
  
• 4:45 PM / Feng Zhao / Structure Discovery from Massive Spatial Data Sets
  
• 5:30 PM / Marc Weeber / Literature-based Discovery in Biomedicine
  
• 6:00 PM / Open Discussion
  
  
• 6:30 PM / Symposium Dinner

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Sunday, March 25
• 9:00 AM / Raul Valdes-Perez / A Recipe for Designing Discovery Programs on Human Terms
  
• 9:45 AM / Sakir Kocabas / The Role of Completeness in the Discoveries in Particle Physics
  
• 10:30 AM / Morning Break
  
• 11:00 AM / Reinhard Stolle / Communicable Models and System Identification
  
• 11:45 AM / Matt Easley / Incorporating Engineering Formalisms into Automated Model Builders
  
• 12:30 PM / Lunch Break
  
• 2:00 PM / Stephen Muggleton / Knowledge Discovery in Biological and Chemical Domains
  
• 2:45 PM / John Koza / Reverse Engineering and Automatic Synthesis of Metabolic Pathways from Observed Data
  
• 3:30 PM / Afternoon Break
  
• 4:00 PM / Pat Langley / Knowledge and Data in Computational Biological Discovery
  
  
• 4:45 PM / Lorenzo Magnani / Comments on Previous Talks
  
• 5:30 PM / Open Discussion
  
• 6:00 PM / Symposium Ends

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• Dec 6, 2000 Workshop On Communicable Knowledge at Discovery Science 2000 (DS2000)

  Topic: This workshop focused on approaches to the computational discovery of communicable knowledge. In particular, it emphasized methods that generate knowledge in some notation already used by scientists, engineers, or other domain experts, rather than notations typically used by researchers in machine learning and data mining like decision trees or Bayesian nets.

  Workshop Program :
  • P. Langley: An Overview on Discovery of Communicable Knowledge
  • T. Washio: Conditions of Law Equations as Communicable Knowledge
  • K. Saito: A Neural Network Approach to Communicable Knowldge
  • H. Hasegawa: Nonequilibrium Thermodynamics from Time Series Data
  • F. Mizoguchi: Data Mining as a Heuristic Device for Communicable Knowledge
  • H. Motoda: Integrating Knowledge Acquisition from Human Experts and Machine Learning from Data
  • Y. Ohsawa: Learn, Look, and Imagine for Chance Discovery

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  Page created : 4 Feb 2001
  Last update : 26 Oct 2001
  By : SAVG