Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
Abstract—We develop a family of distributed wireless scheduling algorithms that requires only O(1) complexity for M-hop interference model, for any finite M. The recent technolo...
Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analy...
Wolfgang Aigner, Alessio Bertone, Silvia Miksch, C...
Abstract--As the information flowing around in social networking systems is mainly related or can be attributed to their users, controlling access to such information by individual...