Random forests have been widely used for their ability to provide so-cal...
We model the risk posed by a malicious cyber-attacker seeking to induce ...
Transmission line outage rates are fundamental to power system reliabili...
In many applications of supervised learning, multiple classification or
...
Outage scheduling aims at defining, over a horizon of several months to
...
Dealing with datasets of very high dimension is a major challenge in mac...
We devise the Unit Commitment Nearest Neighbor (UCNN) algorithm to be us...
In many cases, feature selection is often more complicated than identify...
Networks are ubiquitous in biology and computational approaches have bee...
We adapt the idea of random projections applied to the output space, so ...
The problem of learning Markov equivalence classes of Bayesian network
s...
Direct policy search (DPS) and look-ahead tree (LT) policies are two wid...
The exploration/exploitation (E/E) dilemma arises naturally in many subf...
We propose a hybrid algorithmic strategy for complex stochastic optimiza...