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...
The number of software systems is increasing at a rapid rate. For example, SourceForge currently has about sixty thousand software systems registered, twenty-two thousand of which...
Shinji Kawaguchi, Pankaj K. Garg, Makoto Matsushit...
We describe our experiences designing and implementing a virtual PNNI network testbed. The network elements and signaling protocols modeled are consistent with the ATM Forum PNNI ...
Kalyan S. Perumalla, Matthew Andrews, Sandeep N. B...
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, r...
Shlomo Argamon, Kenneth Bloom, Andrea Esuli, Fabri...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...