Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
- Data collection mechanism is a crucial factor for the performance of intrusion detection system (IDS). Simple random sampling and Stratified random sampling techniques of statist...
Kuo Zhao, Liang Hu, Guannan Gong, Meng Zhang, Kexi...
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
The problem of document replacement in web caches has received much attention in recent research, and it has been shown that the eviction rule "replace the least recently used...