The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
This article deals with TakTuk, a middleware that deploys efficiently parallel remote executions on large scale grids (thousands of nodes). This tool is mostly intended for intera...
Abstract. Common software-protection systems attempt to detect malicious observation and modification of protected applications. Upon tamper detection, anti-hacking code may produ...
Mariusz H. Jakubowski, Chit Wei Saw, Ramarathnam V...
Since the Diffie-Hellman paper, asymmetric encryption has been a very important topic, and furthermore ever well studied. However, between the efficiency of RSA and the security of...