Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems di...
Presented in this paper is a method of retrieving higher order statistical functions of the ocean wave surface from sunglint, or solar optical radiation specularly reflected from t...
We introduce a new concept in splice-and-cut attacks on hash functions, which bridges the gap between preimage attacks and a powerful method of differential cryptanalysis. The ne...
Dmitry Khovratovich, Christian Rechberger, Alexand...