The use of a Bayesian network in the design of a decision support system for growing malting barley without use of pesticides

By K. Kristensen, I. Rasmussen. 2002

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Anirudh Goyal
2. Yoshua Bengio
3. Bernhard Schölkopf
4. Nan Rosemary Ke
5. C. Pal
6. Kyunghyun Cho
7. Sergey Levine
8. Zhe Gan

Citations in the corpus

• Learning Neural Causal Models from Unknown Interventions (2019, methodology): “We evaluate the proposed method on Barley [54] (M = 48) and Alarm [53] (M = 37) from the BnLearn repository.”
• The max-min hill-climbing Bayesian network structure learning algorithm (2006, background): “The networks are from the following references: CHILD (Cowell et al., 1999), INSURANCE (Binder et al., 1997), ALARM (Beinlich et al., 1989), HAILFINDER (Jensen & Jensen, 1996), MILDEW (Jensen & Jensen, 1996), BARLEY (Kristensen & Rasmussen, 2002), MUNIN (Andreassen et al., 1989), PIGS (Jensen, 1997)”