Applying general nonconformity function to transfer AdaBoost algorithm

This paper shows that the region classification task can benefit from instance-transfer learning. It proposes to implement a standard region-classification algorithm using a general nonconformity function based on the Transfer AdaBoost algorithm. The experiments show that the new approach produces valid class regions when instances are...

Dynamic object recognition using sparse coded three-way conditional restricted Boltzmann machines

In this paper a novel framework capable of both accurate predictions and classifications of dynamic images is introduced. The proposed technique makes of use of a novel combination of sparse coding, a feature extraction algorithm, and three-way weight tensor conditional restricted Boltzmann machines, a form of deep learning. Experiments...

Automatically mapped transfer between reinforcement learning tasks via three-way restricted Boltzmann machines (abstract)