资源分类
》 资源 》论文》Incorporating Expert Judgement into Bayesian Network Machine Learning

Incorporating Expert Judgement into Bayesian Network Machine Learning

2019-11-11 | |  39 |   34 |   0
Abstract We review the challenges of Bayesian network learning, especially parameter learning, and specify the problem of learning with sparse data.We explain how it is possible to incorporate both qualitative knowledge and data with a multinomial parameter learning method to achieve more accurate predictions with sparse data.

上一篇：Behavior Composition Optimization

下一篇：Towards a Deeper Understanding of Nonmonotonic Reasoning with Degrees

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...