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Topic: INFORMATION, STATISTICS: Final Call for Participation
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David L Dowe

Posts: 8
Registered: 12/8/04
INFORMATION, STATISTICS: Final Call for Participation
Posted: Aug 1, 1996 7:00 AM
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Minimum Message Length (MML) work of Wallace (1968) and, relatedly,
Solomonoff (1964) and Rissanen (MDL, 1978) gives a unified framework for
consistent, efficient and invariant statistical inference.

Some might also call this "machine learning".

The ISIS conference has assembled 4 world leaders in inductive inference
and machine learning (Ray Solomonoff, Chris Wallace, Jorma Rissanen and Ross
Quinlan). I believe that no 3 of these 4 people have ever been assembled
together before. Others presenting at the conference include Marvin Minsky
(Turing Award winner, I believe) and Henry Kyburg.

Also present will be people with many classical approaches to statistics
and "machine learning".

Information about ISIS, the technical program and the registration costs are

Please forward this call on to interested parties.

Yours faithfully and Regards. - David Dowe.

Dr. David Dowe, ISIS chair, Dept of Computer Science, Monash University,
Clayton, Victoria 3168, Australia
Fax:+61 3 9905-5146
ISIS stuff:



Old Melbourne Hotel
Melbourne, Australia
20-23 August 1996


Henry Kyburg, Jr. (University of Rochester, NY)
Marvin Minsky (MIT)
J. Ross Quinlan (Sydney University)
Jorma J. Rissanen (IBM Almaden Research, San Jose, California)
Ray Solomonoff (Oxbridge Research, Mass)

This conference will explore the use of computational modeling to
understand and emulate inductive processes in science. The problems
involved in building and using such computer models reflect
methodological and foundational concerns common to a variety of
academic disciplines, especially statistics, artificial intelligence
(AI) and the philosophy of science. This conference aims to bring
together researchers from these and related fields to present new
computational technologies for supporting or analysing scientific
inference and to engage in collegial debate over the merits and
difficulties underlying the various approaches to automating inductive
and statistical inference.

About the invited speakers:

Henry Kyburg is noted for his invention of the lottery paradox (in
"Probability and the Logic of Rational Belief", 1961) and his research
since then in providing a non-Bayesian foundation for a probabilistic

Marvin Minsky is one of the founders of the field of artificial
intelligence. He is the inventor of the use of frames in knowledge
representation, stimulus for much of the concern with nonmonotonic
reasoning in AI, noted debunker of Perceptrons and recently the
developer of the "society of minds" approach to cognitive science.

J. Ross Quinlan is the inventor of the information-theoretic approach
to classification learning in ID3 and C4.5, which have become
world-wide standards in testing machine learning algorithms.

Jorma J. Rissanen invented the Minimum Description Length (MDL)
method of inference in 1978, which has subsequently been widely
adopted in algorithms supporting machine learning.

Ray Solomonoff developed the notion of algorithmic complexity in 1960,
and his work was influential in shaping the Minimum Message Length
(MML) work of Chris Wallace (1968) and the Minimum Description Length
(MDL) work of Jorma Rissanen (1978).

Tutorials (Tue 20 Aug 96)

10am - 1pm:
Tutorial 1: Peter Spirtes "Automated Learning of Bayesian Networks"
Tutorial 2: Michael Pazzani "Machine Learning and Intelligent Info Access"
2pm - 5pm:
Tutorial 3: Jan Zytkow "Automation of Scientific Discovery"
Tutorial 4: Paul Vitanyi "Kolmogorov Complexity & Applications"

About the tutorial leaders:

Peter Spirtes is a co-author of the TETRAD algorithm for the induction
of causal models from sample data and is an active member of the
research group on causality and induction at Carnegie Mellon University.

Michael Pazzani is one of the leading researchers world-wide in machine
learning and the moderator of ML-LIST, an electronic mailing list on
Machine Learning. Current interests include the use of intelligent
agents to support information filtering over the Internet.

Jan Zytkow is one of the co-authors (with Simon, Langley and Bradshaw)
of "Scientific Discovery" (1987), reporting on the series of
BACON programs for automating the learning of quantitative scientific

Paul Vitanyi is co-author (with Ming Li) of "An Introduction to
Kolmogorov Complexity and its Applications (1993) and of much
related work on complexity and information-theoretic methods of
induction. Professor Vitanyi will be visiting the Department
of Computer Science, Monash, for several weeks after the

A limited number of free student conference registrations or tutorial
registrations will be available by application to the organizers in
exchange for part-time work during the conference.

Program Committee:
Hirotugu Akaike, Lloyd Allison, Shun-Ichi Amari,
Mark Bedau, Jim Bezdek, Hamparsum Bozdogan, Wray Buntine,
Peter Cheeseman, Honghua Dai, David Dowe, Usama Fayyad, Doug
Fisher, Alex Gammerman, Clark Glymour, Randy Goebel, Josef
Gruska, David Hand, Bill Harper, David Heckerman, Colin
Howson, Lawrence Hunter, Frank Jackson, Max King, Kevin Korb,
Henry Kyburg, Rick Lathrop, Ming Li, Nozomu Matsubara,
Aleksandar Milosavljevic, Richard Neapolitan, Jon Oliver,
Michael Pazzani, J. Ross Quinlan, Glenn Shafer, Peter Slezak,
Padhraic Smyth, Ray Solomonoff, Paul Thagard, Neil Thomason,
Raul Valdes-Perez, Tim van Gelder, Paul Vitanyi, Chris
Wallace, Geoff Webb, Xindong Wu, Jan Zytkow.

Inquiries to:
David Dowe (chair):
Kevin Korb (co-chair): or
Jonathan Oliver (co-chair):

Detailed up-to-date information, including registration costs and further
details of speakers, their talks and the tutorials is available on the WWW at:

- David Dowe.

ISIS: Information, Statistics and Induction in Science


Tuesday 20/8/1996 Tutorials - see above.

Wednesday 21/8

9.30am-10.30am Invited Talk:
J. Ross Quinlan (Sydney University):
"First-Order Induction: Techniques and Applications"

10.30am-11am Morning Break

Classification Trees, Graphs and Rules: I

11am-11.30am Hong, S.J ., Hosking, J.R.M., & Winograd, S.
"Use of Randomization to Normalize Feature Merits"
11.30am-12pm Webb, G.I.
"A Heuristic Covering Algorithm has Higher Predictive
Accuracy Than Learning all the Rules"
12pm-12.30pm Pearson, R.A.
"Single Pass Constructive Induction with Continuous Variables"
12.30pm-1pm Cleary, J. G. , Legg, S., & Witten, I.H.
"An MDL Estimate of the Significance of Rules"

1pm-2pm Lunch

Classification Trees, Graphs and Rules: II

2pm-2.30pm Karalic, A.
"Producing More Comprehensible Models While Retaining
Their Performance"
2.30pm-3pm Pazzani, M.J.
"Constructive Induction of Cartesian Product Attributes"
3pm-3.30pm Neil, J.R., & Korb, K.B.
"The MML Evolution of Classification Graphs"

3.30pm-4pm Afternoon Break

4pm-5pm Invited Talk:
Jorma J. Rissanen (IBM):
"A Universal Regression Model"


5pm-5.30pm Laskar, M.R., & King, M.L.
"Estimation of Regression Disturbances Based on
Minimum Message Length"
5.30pm-6pm Legg, S.
"Minimum Information Estimation of Linear Regression Models"

Thursday 22/8

Foundations of Statistics: I

9.30am-10am Kabaila, P.
"The Evaluation of Model Selection Criteria: Pointwise
Limits in the Parameter Space"
10am-10.30am Dollinger, M.B., Kulinskaya, E., & Staudte, R.G.
"Fuzzy Hypothesis Tests and Confidence Intervals"

10.30am-11am Morning Break

11am-12am Invited Talk:
Marvin Minsky (MIT):
"Discovering Theories of Discovering"

Foundations of Statistics: II

12pm-12.30pm Amati, G., van Rijsbergen, K., Ubaldini, F.
"The Maximum Expected Utility Principle: The Case Study
of Information Retrieval"
12.30pm-1pm Pandya, R., & Galton, A.
"Multi-Layer Thinking in Logic and Probability"


Stream 1:

2pm-2.30pm Cruz, G.P.A., & Beliakov, G.
"Fuzzy Gating and Its Application in Flow Cytometry"
2.30pm-3pm Corruble, V.
"Induction in Medical Discovery: A Computational Simulation"
3pm-3.30pm Tsumoto, S., & Tanaka, H.
"Comparative Analysis of Amino Acid Sequences
of Proteins Using Rough Sets and Change of Representation"


Afternoon Break

4pm-4.30pm Tanaka, H., Ren, F., & Fukuda, N.
"Minimum Complexity Principle and its Application to
Reconstruction of Molecular Phylogenetic Tree"

Stream 1:

4.30pm-5pm Chen S.H., & Tan, C.W.
"Measuring Randomness by Rissanen's Stochastic Complexity:
Applications to the Financial Data"
5pm-5.30pm Dowe D.L. & Korb, K.B.
"Conceptual Difficulties with the Efficient Market Hypothesis:
Towards a Naturalized Economics"

Stream 2:
Philosophy of AI

2pm-2.30pm Dowe, P.
"Chance Lowering Causes: Old Problems for New Versions
of the Probablistic Theory of Causation"
2.30pm-3pm Dorin, A.
"Computer Based Life, Possibilities and Impossibilities"
3pm-3.30pm Korb, K.B.
"Symbolicism and Connectionism: AI Back at a Join Point"


Afternoon Break

Stream 2:
Scientific Discovery

4pm-4.30pm Bulmer, M.
"Inductive Theories from Equational Systems"
4.30pm-5pm Zytkow, J.M.
"From Statistical Regularities to Concepts, Hierarchies,
Equation Clusters and Rules"
5pm-5.30pm Patrick, J.
"A Minimum Message Length (MML) Model for Software Measures"

Friday 23/8

Minimum Encoding Inference: I

9.30am-10am Vitányi, P. & Li, M.
"Ideal MDL and Its Relation to Bayesianism"
10am-10.30am Baxter, R.A.
"The Likelihood Principle and MML Estimators"

10.30am-11am Morning Break

11am-12am Invited Talk:
Henry Kyburg , Jr. (University of Rochester):
"Bayesian Inference and Inductive Inference"

Minimum Encoding Inference: II

12pm-12.30pm Wallace, C.S.
"False Oracles and Strict MML Estimators"
12.30pm-1pm Hulme, M.R.
"An Analysis of SMML from a Subjective Bayesian Perspective"


Mixture Modeling: I

2pm-2.30pm Li, W.Q., Attikouzel, Y., & Bezdek, J.C.
"Estimating the Number of Components in a Normal Mixture"
2.30pm-3pm Upal, M.A.
"Comparison of Unsupervised Classifiers"
3pm-3.30pm McLachlan, G.J., & Peel, D.
"An Algorithm for Unsupervised Learning via Normal Mixture Models"


Afternoon Break

4pm-5pm Invited Talk:
Ray Solomonoff (Oxbridge Research)
"Does Algorithmic Probability Solve
the Problem of Induction?"

Mixture Modeling: II

5pm-5.30pm Kontkanen, P.T., Myllymäki, P.J. & Tirri, H.R.
"Comparing Bayesian Model Class Selection Criteria
by Discrete Finite MIxtures"
5.30pm-6pm Jorgensen, M. A., Hunt, L.A.
"Mixture Model Clustering of Data Sets with Categorical
and Continuous Variables"


Melbourne, Australia - 20 to 23 August 1996

Mail Completed Form to:
Dr David Dowe
ISIS chair
Department of Computer Science
Monash University
Clayton Victoria 3168 Australia

Phone: +61-3-9 905 5226
FAX: +61-3-9 905 5146

Please Type or Print in Block Letters

Family Name __________________________________

Given Name____________________________________

Mailing Address_________________________________________________________________




Postal Code___________


Phone +___ (___) ____________ Fax +___ (___) ________________


All Registrations Include: Proceedings and lunch (21-23 Aug).
All prices are stated in AUS$.

Before 1st July After 1st July
Registration $ 300 $ 400 ___________
1 Tutorial $ 125 $ 150 ___________
2 Tutorials $ 200 $ 250 ___________

Registration $ 175 $ 225 ___________
1 Tutorial $ 75 $ 75 ___________
2 Tutorials $ 125 $ 125 ___________

Tutorials T1 ___ T2 ___ T3 ___ T4 ___

Old Melbourne Hotel
single (side street room) @ $ 126/night ___________
single (courtyard room) @ $ 136/night ___________
double (side street) @ $ 71/night/person ___________
double (courtyard) @ $ 76/night/person ___________

Arrival date ___/Aug/96 Departure date ___/Aug/96

Number of Night(s) ____

If sharing with another conference attendee, please enter that person's

name :_________________________________

______Conference Dinners @ $ 50 ea ___________

______Extra Proceedings @ $ 60 ea ___________

Grand Total___________

Prices are stated in AUS$. You may pay by cheque in US$ by deducting 15% from
the Australian prices (if you don't like the implicit exchange rate, please
send Australian dollars or pay by credit card). Credit Card charges will be
in AUS$ and charged at the current exchange rate.
We accept Visa and Master Card.

Payment: Cheque or Money Order (made out to: Monash University) or Credit Card
(MasterCard or Visa):

Name on Credit Card ______________________________

Signature ______________________________

Credit Card Number ______________________________

Expiry Date ______________

Withdrawals and cancellations must be received in writing by 1 Aug 1996,
and will be subject to a fee of AUS $50. After this date no refunds will be made.

* Proof of student status is required, such as a letter from your department.

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