Unique and challenging security problems arise due to the scarcity of computational, storage, and power resources in the low-cost pervasive computing environment. Particularly rel...
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
As the number of devices available per chip continues to increase, the computational potential of future computer architectures grows likewise. While this is a clear benefit for f...
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Component-based software construction is widely used in a variety of applications, from embedded environments to grid computing. However, errors in these applications and systems ...