MDMC Software - CaMML References

Theory References

The following publications discuss CaMML. They are in chronological order. List as of June 2004.

@TechReport{	  wallace_k_d96,
  author	= {C. S. Wallace and K. B. Korb and H. Dai},
  title		= {Causal discovery via {MML}},
  institution	= {Dept of Computer Science, Monash University, Clayton,
		  Victoria 3168, Australia},
  year		= 1996,
  number	= {TR96/254}
}

@InProceedings{	  dai97:_weaklinks,
  author	= {H. Dai and K. B. Korb and C. S. Wallace and X. Wu},
  title		= {A study of causal discovery with weak links and small
		  samples},
  booktitle	= {Proceedings of the Fifteenth International Joint
		  Conference on Artificial Intelligence},
  pages		= {1304-1309},
  year		= 1997,
  address	= {San Francisco USA},
  organization	= {Morgan Kaufmann Publishers Inc}
}

@Article{	  korb97:_philstone,
  author	= {Kevin B. Korb and Chris S. Wallace},
  title		= {In search of the philosopher's stone: Remarks on
		  {H}umphreys and {F}reedman's critique of causal discovery},
  journal	= {Journal for the Philosophy of Science},
  year		= 1997,
  volume	= 47,
  pages		= {543-553},
  annote	= {Defends CM and especially CDiscovery}
}

@TechReport{	  neil_k98,
  author	= {J. R. Neil and K. B. Korb},
  title		= {The {MML} evolution of causal models},
  institution	= {Dept of Computer Science, Monash University, Clayton,
		  Victoria 3168, Australia},
  year		= 1998,
  number	= {98/17},
  month		= {July},
  annote	= {Summary of TETRAD and others see p3}
}

@InCollection{	  wallacekorb99:_llcm,
  author	= {Chris S. Wallace and Kevin B. Korb},
  title		= {Learning Linear Causal Models by {MML} Sampling},
  booktitle	= {Causal Models and Intelligent Data Management},
  publisher	= {Springer-Verlag},
  year		= 1999,
  editor	= {A. Gammerman},
  pages		= {89--111},
  chapter	= 7,
  annote	= {"We combine... MML evaluation of linear causal models [e.g.
		  Asher and Wright] with Monte-Carlo sampling to produce a
		  program that given ordinary joint sample data reports the
		  posterior probabilities of equivalence classes of causal
		  models and their member models." It outperforms TETRAD II
		  and others.}
}

@InProceedings{	  neil99:_logit,
  author	= {J. R. Neil and C. S. Wallace and K. B. Korb},
  title		= {Learning {B}ayesian networks with restricted causal
		  interactions},
  booktitle	= {Proceedings of the Fifteenth Conference on Uncertainty in
		  Artificial Intelligence (UAI-99)},
  pages		= {486--493},
  year		= 1999,
  editor	= {K. Blackmond Laskey and H. Prade},
  address	= {Stockholm, Sweden},
  organization	= {UAI},
  publisher	= {Morgan Kaufmann Publishers, San Francisco, CA, USA},
  annote	= {Logistic model for CPTs in Bayes nets. Automatic selection
		  of level of independence via MML criteria. Has logit model
		  for discrete CPT parameters, advantages
		  of logit over full CPT model, FOM (first order model)
		  approximation}
}

@TechReport{	  neil_k99/27,
  author	= {J. R. Neil and K. B. Korb},
  title		= {The evolution of causal models: a comparison of {B}ayesian
		  metrics and structure priors},
  institution	= {Dept of Computer Science, Monash University, Clayton,
		  Victoria 3168, Australia},
  year		= 1999,
  number	= {98/17},
  month		= {July},
  annote	= {{MML} vs Geiger-Heckerman}
}

@InProceedings{	  neilkorb:99,
  author	= {J. R. Neil and K. B. Korb},
  title		= {The evolution of causal models: a comparison of {B}ayesian
		  metrics and structure priors},
  booktitle	= {Methodologies for knowledge discovery and data mining:
		  third Pacific-Asia conference},
  pages		= {432--437},
  year		= 1999,
  editor	= {N. Zhong and L. Zhous},
  publisher	= {Springer Verlag},
  annote	= {{MML} vs Geiger-Heckerman}
}

@Book{		  korb03:_bai,
  author	= {Kevin B. Korb and Ann E. Nicholson},
  title		= {Bayesian Artificial Intelligence},
  publisher	= {CRC Press},
  year		= {2003},
}

Applications References

@InProceedings{	  kennettetalpakdd01,
  author	= {R. J. Kennett and K. B. Korb and A. E. Nicholson},
  title		= {Seabreeze Prediction Using {Bayesian} Networks},
  booktitle	= {PAKDD'01 -- Proceedings of the Fourth Pacific-Asia
		  Conference on Knowledge Discovery and Data Mining},
  address	= {Hong Kong},
  pages		= {148-153},
  year		= 2001
}


@InProceedings{	  korb01:_evaluation,
  author	= {Kevin B. Korb and Lucas R. Hope and Michelle J. Hughes},
  title		= {The evaluation of predictive learners: some theoretical
		  and empirical results},
  booktitle	= {Proceedings of the 12th European Conference on Machine
		  Learning --- ECML 2001},
  pages		= {276-287},
  year		= 2001,
  publisher	= {Springer-Verlag}
}

@TechReport{	  korb03:_minimality,
  author	= {K. B. Korb and D. Boulton},
  title		= {An Empirical Study of Minimality and Causality},
  institution	= {School of Computer Science and Software Engineering,
		  Monash University.},
  year		= 2003
}

Monash University ABN 12 377 614 012 - Maintained by the MDMC WebGroup
Copyright © 1994-2001 Monash University - Caution