— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil...
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Wireless networks introduce brand new opportunities for music delivery. The trend of using mobile devices in wireless networks, can significantly extent the recent change of paradi...
Ioannis Karydis, Alexandros Nanopoulos, Apostolos ...
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...