When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
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 study the novel problem of efficiently computing the update distance for a pair of relational databases. In analogy to the edit distance of strings, we define the update distan...
The work presented here tackles the problem of designing a unipolar 6-bit digital-to-analog converter (DAC) with a voltage mode output by hardware evolution. Thereby a Field Progr...
Network Intrusion Detection and Prevention Systems (IDPS) use string matching to scan Internet packets for malicious content. Bloom filters offer a mechanism to search for a large...
Michael Attig, Sarang Dharmapurikar, John W. Lockw...