Publication

Titel	Author	Year	Type
A robust back propagation algorithm for function approximation	D. S. Chen and R. C. Jain	1991	Incollection
The effect of knowledge on belief: conditioning, specifity and the lottery paradox in default reasoning	D. Poole	1991	Article
A Methodology for Using a Default and Abductive Reasoning System	D. Poole	1990	Article
On the Consistency of Commonsense Reasoning	D. Perlis	1987	Incollection
{T}owards {A}utomatexd {C}ase {K}nowledge {D}iscovery in the {M}$^2${C}ase-{B}ased {R}easoning {S}ystem	D. Patterson and S. S. Anand and W. Dubitzky and J. G. Hughes	1999	Article
Conditional Logic	D. Nute	1984	Inbook
The $\pi$--Calculus as a Theory in Linear Logic: Preliminary Results	D. Miller	1992	Incollection
Abstractions in Logic Programs	D. Miller	1990	Incollection
Machine Learning, Neural and Statistical Classification	D. Michie and D. J. Spiegelhalter and C. C. Taylor	1994	Book
Improving Summarization Through Rhetorical Parsing Tuning	D. Marcu	1998	Inproceedings
Data Analysis as Search	D. Lubinsky and D. Pregibon	1987	Inproceedings
Evaluating and Optimizing Autonomous Text Classification Systems	D. Lewis	1995	Inproceedings
Reasoning with Time and Chance	D. Lehmann and S. Shelah	1982	Article
A logical framework for default reasoning	D. L. Poole	36	Article
{I}nformal covariation assessments: {D}ata-based versus theory-based judgements	D. Jennings and T. Amabile and L. Ros	1982	Incollection
Discourse processing and commonsense plans	D. J. Litman and J. Allen	1990	Incollection
Deconstructing Statistical Questions	D. J. Hand	1994	Article
Artificial Intelligence Frontiers in Statistics	D. J. Hand	1991	Book
Measurement scales as metadata	D. J. Hand	1991	Incollection
Applying Inductive Logic Programming in Reactive Environments	D. Hume and C. Sammut	1992	Incollection
{N}euronale {N}etze in der {WestLB}	D. Heitkamp and K.-U. Höffgen and J. Minnemann	1995	Article
The compilation of decision models	D. Heckerman and J. Breese and E. Horvitz	1989	Inproceedings
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension	D. Haussler and M. Kearns and R. Schapire	1991	Inproceedings
New Theoretical Directions in Machine Learning	D. Haussler	1988	Article
Imbalance between Growth and Funding in Academic Computer Science: Two Trends Colliding	D. Gries and R. Miller and R. Ritchie and P. Young	April 1986	Techreport
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