Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
In this paper, we present a scheme for minimizing packet loss in OSPF networks by optimizing link weights using Online Simulation. We have chosen packet loss rate in the network a...
Hema Tahilramani Kaur, Tao Ye, Shivkumar Kalyanara...
Protocols that provide reliable communicationon top of a network that can lose packets rely on periodically retransmitting packets. The choice of retransmission timeout critically...