Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The space of Bayesian network structures is forbiddingly large and hence numerous techniques have been developed to prune this search space, but without eliminating the optimal structure. Such techniques are critical for structure learning to scale to larger datasets with more variables. Prior works exploited properties of the MDL score to prune away large regions of the search space that can be safely ignored by optimal structure learning algorithms. ,  propose new techniques for pruning regions of the search space that can be safely ignored by algorithms that enumerate the k-best Bayesian network structures. Empirically,  show that these techniques allow a state-of-the-art structure enumeration algorithm to scale to datasets with significantly more variables.
['Eunice Yuh-Jie Chen', 'Arthur Choi', 'Adnan Darwiche']
I am writing a research paper on a idea On Pruning with the MDL Score
[{"from": "human", "value": "I am writing a research paper on a idea On Pruning with the MDL Score"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The space of Bayesian network structures is forbiddingly large and hence numerous techniques have been developed to prune this search space, but without eliminating the optimal structure. Such techniques are critical for structure learning to scale to larger datasets with more variables. Prior works exploited properties of the MDL score to prune away large regions of the search space that can be safely ignored by optimal structure learning algorithms. ,  propose new techniques for pruning regions of the search space that can be safely ignored by algorithms that enumerate the k-best Bayesian network structures. Empirically,  show that these techniques allow a state-of-the-art structure enumeration algorithm to scale to datasets with significantly more variables."}]