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Optimal Learning from Verified Training Data
In attempts to relax this assumption, fields such as adversarial learning typically assume that data is provided by an adversary, whose sole objective is to fool a learning algorithm.
Mechanism Design for Efficient Online and Offline Allocation of Electric Vehicles to Charging Stations
We formulate the problem of the optimal EV to charging station allocation as a Mixed Integer Programming (MIP) one and we propose two pricing mechanisms: A fixed-price one, and another that is based on the well known Vickrey-Clark-Groves (VCG) mechanism.
Computer Science and Game Theory Systems and Control Systems and Control
Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box
Specifically, we model the 10-year bond yield using univariate LSTMs with three input sequences and five forecasting horizons.
