Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
Time-Of-Flight (TOF) positron emission tomography (PET) was studied and preliminarily developed in the 80s, but the lack of a scintillator able to deliver proper time resolution a...
Parham Geramifar, Mohammad Reza Ay, Mojtaba Shamsa...
We propose to study links between three important classification algorithms: Perceptrons, Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs). We first study ways to...
—A significant percentage of online content is now published and consumed via the mechanism of crowdsourcing. While any user can contribute to these forums, a disproportionately...
Fang Wu, Dennis M. Wilkinson, Bernardo A. Huberman
— We consider a collocated wireless network where all links contend for a given channel and each link can hear others’ transmissions. Due to channel fading, the link condition ...