Multi-dimensional Bayesian Network Classifiers
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Summary
The learning problem for a subfamily of multi-dimensional classifiers is described and it is shown that the complexity of the solution algorithm is polynomial in the number of variables involved.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 93
- References
- 23
- Access
- Open access
- OpenAlex
- https://openalex.org/W1505979743
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12111462
Keywords
Computer science, Artificial intelligence, Bayesian probability, Bayesian network, Pattern recognition (psychology)
References
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- Wrappers for Feature Subset Selection
- Modeling By Shortest Data Description*
- UCI Repository of machine learning databases
- Probabilities for a probabilistic network: a case study in oesophageal cancer
- Approximating discrete probability distributions with dependence trees
- Restricted Bayesian Network Structure Learning
- Elements of Information Theory
- Towards Principled Feature Selection: Relevancy, Filters and Wrappers
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- A hybrid method for learning multi-dimensional Bayesian network classifiers based on an optimization model
- An Improved Classifier Chain Ensemble for Multi-DimensionalClassification with Conditional Dependence
- MCODE: Multivariate Conditional Outlier Detection
- A Two-Step Method to Learn Multidimensional Bayesian Network Classifiers Based on Mutual Information Measures
- Applying semi-supervised learning in hierarchical multi-label classification
- Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting
- An efficient probabilistic framework for multi-dimensional classification
- NBBR: A Baseline Method for the Evaluation of Bayesian Multi-label Classification Algorithms
- Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
- Iterative classification for multiple target attributes
- Multi-label classification with Bayesian network-based chain classifiers
- Research on Multi-Dimensional Bayesian Network Classifiers Based on ICA Dimension Reduction
- Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing
- Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis
- Multi-dimensional classification with Bayesian networks
- Learning Bayesian network classifiers by risk minimization
- Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
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