Machine learning methods that can handle variable-size structured data such as sequences and graphs include Bayesian networks (BNs) and Recursive Neural Networks (RNNs). In both classes of models, the data is modeled using a set of observed and hidden variables associated with the nodes of a directe
โฆ LIBER โฆ
Complex Probabilistic Modeling with Recursive Relational Bayesian Networks
โ Scribed by Manfred Jaeger
- Book ID
- 110353752
- Publisher
- Springer Netherlands
- Year
- 2001
- Tongue
- English
- Weight
- 400 KB
- Volume
- 32
- Category
- Article
- ISSN
- 1012-2443
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