J. of New Generation Computing
http://www.springer.com/computer/ai/journal/354
Special Issue: “Advanced Methodologies for Bayesian Networks”
Call for Papers
Over the last few decades, Bayesian Networks (BNs) have become an increasingly popular AI approach. In this workshop we explore methodologies for enhancing the effectiveness of BNs including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented by discussions of practical considerations for applying BNs in real world settings, covering concerns like scalability, incremental learning, parallelization, and other important issues. To bring additional attention to this work, the journal “New Generation Computing” is calling for papers for a special issue on “Advanced Methodologies for Bayesian Networks” to be published in January, 2012. The submission deadline is April 1, 2011.
Topics of interest include, but are not limited to, the following:
- Probabilistic Reasoning using Bayesian Networks
- Combination of Probabilistic Reasoning and Logic in Bayesian Networks
- Learning Bayesian Networks
- Causal Discovery
- Causal Inference
- Advanced Application of Bayesian Networks
Paper submission:
Papers should be prepared in LaTeX (Style File available in http://www.ohmsha.co.jp/ngc/ ) in compressed PostScript file with ZIP (1MB at maximum including all texts and figures) and submitted by e-mail to ueno@ai.is.uec.ac.jp
*Send the compressed PostScript file only as attachment file, do not paste the file on text space
*The file name should be author’s last name
*LaTeX source file is required only after the acceptance of your paper by the Editorial Committee
Paper submission deadline:
April 1, 2011
Contact
ueno@ai.is.uec.ac.jp