Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Network measurement has shown that a specific IP address prefix may be announced by more than one autonomous system (AS), a phenomenon commonly referred to as Multiple Origin AS...
Xiaoliang Zhao, Dan Pei, Lan Wang, Daniel Massey, ...
The L ? = NL question remains one of the major unresolved problems in complexity theory. Both L and NL have logical characterizations as the sets of totally ordered ( ) structures...