The management of moving objects has been intensively studied in the recent years. A wide and increasing range of database applications has to deal with spatial objects whose posi...
Model checking techniques have traditionally dealt with temporal logic languages and automata interpreted over -words, i.e., infinite in the future but finite in the past. However...
Matteo Pradella, Angelo Morzenti, Pierluigi San Pi...
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
We present a new bicriteria approximation algorithm for the degree-bounded minimum-cost spanning tree problem: Given an undirected graph with nonnegative edge weights and degree b...