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This paper presents a methodology to design a discrete-event system (DES) for the on-line supervision of a biotechnological process.
ILP provided a finite sample set of numerical observations and a number of logical formulae which organized the knowledge using causal relationships.
This paper presents a methodology to design a discrete-event system (DES) for the on-line supervision of a biotechnological process.
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Characterization of bio-chemical signals by inductive logic programming. A Doncescu, J Waissman, G Richard, G Roux. Knowledge-Based Systems 15 (1-2), 129-137, ...
Characterization of Bio-Chemical Signals by. Inductive Logic Programming. Knowledge-Based Sys- tems 15:129–137. Dzeroski, S., and Lavrac, N. 2001. Relational ...
We investigate the empirical support for biochemical findings by comparing Inductive Logic Programming (ILP) induced rules to actual biochemical results. We ...
Profundice en los temas de investigación de 'Characterization of bio-chemical signals by inductive logic programming'. En conjunto forman una huella única.
This article describes two machine learning (inductive logic programming [ILP])-based approaches to the bioinformatic problem of predicting protein function ...
Mar 1, 2004 · This article describes two machine learning (inductive logic programming [ILP])–based approaches to the bioinformatic problem of predicting ...
Mar 12, 2010 · In this work, we describe how logic-based models can be used to represent biochemical signaling networks and illustrate some of the questions ...
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