— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
In programming high performance applications, shared address-space platforms are preferable for fine-grained computation, while distributed address-space platforms are more suita...
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
We consider a variety of dynamic, hardware-based methods for exploiting load/store parallelism, including mechanisms that use memory dependence speculation. While previous work ha...
When dealing with narrative texts, a system must possess a strong domain theory, and especially knowledge about situations occurring in the world. Otherwise the system must envisa...