Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: generative and discriminative learning. While generative parameter learning is more efficient, discriminative parameter learning is more effective. ,  propose a simple, efficient, and effective discriminative parameter learning method, called  Discriminative Frequency Estimate  (DFE), which learns parameters by discriminatively computing frequencies from data. Empirical studies show that the DFE algorithm integrates the advantages of both generative and discriminative learning: it performs as ll as the state-of-the-art discriminative parameter learning method ELR in accuracy, but is significantly more efficient.
['Jiang Su', 'Harry Zhang', 'Charles X. Ling', 'Stan Matwin']
I am writing a research paper on a idea Discriminative parameter learning for Bayesian networks
[{"from": "human", "value": "I am writing a research paper on a idea Discriminative parameter learning for Bayesian networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: generative and discriminative learning. While generative parameter learning is more efficient, discriminative parameter learning is more effective. ,  propose a simple, efficient, and effective discriminative parameter learning method, called  Discriminative Frequency Estimate  (DFE), which learns parameters by discriminatively computing frequencies from data. Empirical studies show that the DFE algorithm integrates the advantages of both generative and discriminative learning: it performs as ll as the state-of-the-art discriminative parameter learning method ELR in accuracy, but is significantly more efficient."}]