For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
We present a new, on-the-fly algorithm that given a push-down model representing a sequential program with (recursive) procedure calls and an extended finite-state automaton repr...
Samik Basu, Diptikalyan Saha, Yow-Jian Lin, Scott ...
This paper describes new machine learning approaches to predict the correct homepage in response to a user's homepage finding query. This involves two phases. In the first ph...
Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....
Grzegorz Cielniak, Maren Bennewitz, Wolfram Burgar...
Developing a sequential simulation program is not an easy task. Developing a distributed simulation program is harder than a sequential one because it is necessary to deal with ma...
Sarita Mazzini Bruschi, Regina Helena Carlucci San...