arXiv Open Access 2013

Multiplicative Factorization of Noisy-Max

Masami Takikawa Bruce D'Ambrosio

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Abstrak

The noisy-or and its generalization noisy-max have been utilized to reduce the complexity of knowledge acquisition. In this paper, we present a new representation of noisy-max that allows for efficient inference in general Bayesian networks. Empirical studies show that our method is capable of computing queries in well-known large medical networks, QMR-DT and CPCS, for which no previous exact inference method has been shown to perform well.

Topik & Kata Kunci

cs.AI

Penulis (2)

Masami Takikawa

Bruce D'Ambrosio

Format Sitasi

APA MLA BibTeX

Takikawa, M., D'Ambrosio, B. (2013). Multiplicative Factorization of Noisy-Max. https://arxiv.org/abs/1301.6742

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2013
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓