Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Abstract— An important application of wireless sensor networks is to perform the monitoring missions, for example, to monitor some targets of interests at all times. Sensors are ...
Bang Wang, Kee Chaing Chua, Vikram Srinivasan, Wei...
The problem of characterizing all the testable graph properties is considered by many to be the most important open problem in the area of property-testing. Our main result in thi...
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
The main goal to be answered by this Ph.D. thesis is whether there is a potential for a successful and powerful application of agile methods and related techniques to embedded syst...