Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Wein...
This paper presents reduction recognition and parallel code generationstrategies for distributed-memorymultiprocessors. We describe techniques to recognize a broad range of implic...
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
In high-dimensional query processing, the optimization of the logical page-size of index structures is an important research issue. Even very simple query processing techniques suc...