Abstract
Bayesian networks have been applied for several uncertainty management problems in the artificial intelligence and Web intelligence communities. However, one may require the use of Bayesian networks, yet lack the background knowledge to build them. Moreover, it is widely acknowledged in the Bayesian network community that understanding Bayesian network inference is an arduous task. In this paper, we solve this dilemma by proposing a Web-based interface for hiding Bayesian network inference. This approach allows a much wider audience to utilize Bayesian network inference without having to understand how the inference process is actually carried out.
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Butz, C.J., Lingras, P., Konkel, K. (2008). A Web-Based Interface for Hiding Bayesian Network Inference. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science(), vol 4994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68123-6_67
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DOI: https://doi.org/10.1007/978-3-540-68123-6_67
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