We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...
—Lustre is becoming an increasingly important file system for large-scale computing clusters. The problem, however, is that many data-intensive applications use MPI-IO for their ...
We compare the performance of three statistical parsing architectures on the problem of deriving typed dependency structures for French. The architectures are based on PCFGs with ...
Marie Candito, Joakim Nivre, Pascal Denis, Enrique...
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...