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ICML
2005
IEEE
14 years 9 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
BMCBI
2007
146views more  BMCBI 2007»
13 years 9 months ago
Spatial location and its relevance for terminological inferences in bio-ontologies
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...
Stefan Schulz, Kornél G. Markó, Udo ...
TSE
1998
115views more  TSE 1998»
13 years 8 months ago
Integration and Analysis of Use Cases Using Modular Petri Nets in Requirements Engineering
—It is well known that requirements engineering plays a critical role in software quality. The use case approach is a requirements elicitation technique commonly used in industri...
Woo Jin Lee, Sung Deok Cha, Yong Rae Kwon
BIOINFORMATICS
2005
96views more  BIOINFORMATICS 2005»
13 years 9 months ago
BioLingua: a programmable knowledge environment for biologists
BioLingua is an interactive, web-based programming environment that enables biologists to analyze biological systems by combining knowledge and data through direct end-user progra...
J. P. Massar, Michael Travers, Jeff Elhai, Jeff Sh...
GIS
1992
ACM
14 years 1 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis