Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
—We consider an ad hoc network where frequency hopping (FH), convolutional coding and multiple antennas are employed in order to combat fading and multiple access (MA) interferen...
Kostas Stamatiou, John G. Proakis, James R. Zeidle...
Users’ behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, and global trends. However, few publications sys...
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengj...
The effectiveness of adaptive user interfaces highly depends on the how accurately adaptation satisfies the needs of users. This paper presents an empirical study that examined tw...
Web personalization has demonstrated to be advantageous for both online customers and vendors. However, its benefits may be severely counteracted by privacy constraints. Personaliz...