Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine.
Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton · The European Symposium on Artificial Neural Networks · 2009
In an effort to better understand the complex courtship be- haviour of pigeons, we have built a model learned from motion capture data. We employ a Conditional Restricted Boltzmann Machine (CRBM) with binary latent features and real-valued visible units. The units are conditioned on information from previous time steps to capture dynam- ics. We validate a trained model by quantifying the characteristic head- bobbing present in pigeons. We also show how to predict missing data by marginalizing out the hidden variables and minimizing free energy.