Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
We present a method for computing holographic patterns for the generation of three-dimensional (3-D) holographic images at interactive speeds. We used this method to render hologr...
Abstract: Efficient content-based similarity search in large multimedia databases requires efficient query processing algorithms for many practical applications. Especially in hi...
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
Maria Cutumisu, Duane Szafron, Michael H. Bowling,...