Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Knapsack constraints are a key modeling structure in discrete optimization and form the core of many real-life problem formulations. Only recently, a cost-based filtering algorit...
Knapsack constraints are a key modeling structure in discrete optimization and form the core of many real-life problem formulations. Only recently, a cost-based filtering algorith...
We consider the problem of partitioning, in a highly accurate and highly efficient way, a set of n documents lying in a metric space into k non-overlapping clusters. We augment th...
Filippo Geraci, Marco Pellegrini, Paolo Pisati, Fa...
The next phase of human genomics will involve largescale screens of populations for signi cant DNA polymorphisms, notably single nucleotide polymorphisms SNP's. Dense human S...