Kernel conditional graphical models
By F. P. Cruz, Zoubin Ghahramani, Massimiliano Pontil. 2007
9 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Probabilistic & Bayesian Methods
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In Management Science and Operations Research
In Probabilistic & Bayesian Methods
Citations in the corpus
- Structured Convolutional Kernel Networks for Airline Crew Scheduling (2021, background): “Note that some structured predictors can lower test error to 1 − 3% (Pérez-Cruz et al., 2007), such as SeaRNN (Leblond et al., 2017), which adapts RNN to the learning-to-search approach.”