We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
The "ZIP" adaptive trading algorithm has been demonstrated to outperform human traders in experimental studies of continuous double auction (CDA) markets. The original Z...
Abstract. We study the impact of malicious synchronization on computer systems that serve customers periodically. Systems supporting automatic periodic updates are common in web se...
Mun Choon Chan, Ee-Chien Chang, Liming Lu, Peng So...
Abstract The Internet and the Web are increasingly used to disseminate fast changing data such as sensor data, traffic and weather information, stock prices, sports scores, and eve...