The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
Honeypots are computer systems that try to fool cyberattackers into thinking they are ordinary computer systems, when in fact they are designed solely to collect data about attack...
This paper proposes a system for the background image generation by cooperative parallel processingunder the severe outdoor environmental conditions, which are ever changing in na...
We introduce a novel algorithm for decision tree learning in the multi-instance setting as originally defined by Dietterich et al. It differs from existing multi-instance tree lea...
In many text retrieval tasks, it is highly desirable to obtain a "similarity profile" of the document collection for a given query. We propose sampling-based techniques ...