reasoning probability
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann
Neural networks are state-of-the-art classification approaches but are generally difficult to interpret. This issue can be partly alleviated by constructing a precise decision process within the neural network. In this work, a network architecture, denoted as Classification-By-Components network (CBC), is proposed.
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
- Europe > Germany > Bavaria > Lower Franconia > Würzburg (0.04)
- Europe > Germany > Baden-Württemberg > Stuttgart Region > Weissach (0.04)
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann
Neural networks are state-of-the-art classification approaches but are generally difficult to interpret. This issue can be partly alleviated by constructing a precise decision process within the neural network. In this work, a network architecture, denoted as Classification-By-Components network (CBC), is proposed.
- North America > Canada > Quebec > Montreal (0.04)
- Europe > Germany > Bavaria > Lower Franconia > Würzburg (0.04)
- Europe > Germany > Baden-Württemberg > Stuttgart Region > Weissach (0.04)