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» Induction in Noisy Domains
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MLDM
2009
Springer
15 years 6 months ago
PMCRI: A Parallel Modular Classification Rule Induction Framework
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
Frederic T. Stahl, Max A. Bramer, Mo Adda
SGAI
2010
Springer
14 years 9 months ago
Induction of Modular Classification Rules: Using Jmax-pruning
The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree s...
Frederic T. Stahl, Max Bramer
90
Voted
AIIA
2003
Springer
15 years 5 months ago
Incremental Induction of Rules for Document Image Understanding
This paper aims at presenting the application of first-order logic machine learning techniques to two document domains in order to learn rules for recognizing the semantic role of...
Stefano Ferilli, Nicola Di Mauro, Teresa Maria Alt...
92
Voted
AAAI
1990
15 years 26 days ago
Inductive Synthesis of Equational Programs
An equational approach to the synthesis of functional and logic programs is taken. Typically, a target program contains equations that are only true in the standard model of the g...
Nachum Dershowitz, Eli Pinchover
FLAIRS
2004
15 years 1 months ago
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
Adam Zagorecki, Marek J. Druzdzel