848 search results - page 109 / 170 » Transductive Learning from Relational Data |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
ECCB
2003
IEEE
14 years 29 days ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...