Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Clinical Psychology,Experimental and Cognitive Psychology,Analysis
Reference36 articles.
1. Bishop CM (1994) Mixture density networks. Technical report
2. Chaloner K, Verdinelli I (1995) Bayesian experimental design: a review. Stat Sci 273–304
3. Chalupka K, Perona P, Eberhardt F (2015) Visual causal feature learning. In: Proceedings of the thirty-first conference on uncertainty in artificial intelligence. AUAI Press, Corvallis, pp 181–190
4. Chalupka K, Bischoff T, Perona P, Eberhardt F (2016a) Unsupervised discovery of el nino using causal feature learning on microlevel climate data. In: Proceedings of the thirty-second conference on uncertainty in artificial intelligence
5. Chalupka K, Perona P, Eberhardt F (2016b) Multi-level cause-effect systems. In: 19th international conference on artificial intelligence and statistics (AISTATS)
Cited by
33 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献