A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
Emerging applications of RFID require high efficiency of tag identification. Since passive tags have dumb functionality, the efficiency of tag identification in RFID system reli...
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
A hash function h, i.e., a function from the set U of all keys to the range range [m] = {0, . . . , m − 1} is called a perfect hash function (PHF) for a subset S ⊆ U of size n ...
Djamal Belazzougui, Fabiano C. Botelho, Martin Die...
We benchmark the pure random search algorithm on the BBOB 2009 noise-free testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space di...