A central issue in relational learning is the choice of an appropriate bias for limiting first-order induction. The purpose of this study is to circumvent this issue within a unifo...
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
— Multi-carrier modulations (MCM) and especially orthogonal schemes such as orthogonal frequency division multiplexing (OFDM) are currently used in many radio transmission standa...
Mamdouh El Tabach, Jean-Philippe Javaudin, Marylin...