While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Continuous technology scaling has brought us to a point, where transistors have become extremely susceptible to cosmic radiation strikes, or soft errors. Inside the processor, cac...
Recent techniques increase rapidly the amount of our knowledge on interactions between proteins. The interpretation of these new information depends on our ability to retrieve kno...
This paper explains how the high-level treatment of datatypes in functional languages--using features like constructor functions and pattern matching--can be made to coexist with ...