170 search results - page 4 / 34 » Parameter Learning of Logic Programs for Symbolic-Statistica... |
JMLR
2008
14 years 9 months ago
2008
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
ICTAI
2007
IEEE
15 years 3 months ago
2007
IEEE
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
CMSB
2004
Springer
15 years 2 months ago
2004
Springer
In this paper we present a methodology to estimate rates of enzymatic reactions in metabolic pathways. Our methodology is based on applying stochastic logic learning in ensemble le...
ML
2006
ACM
14 years 9 months ago
2006
ACM
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
103
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JMLR
2012
12 years 12 months ago
2012
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...