We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Background: Several problems exist with current methods used to align DNA sequences for comparative sequence analysis. Most dynamic programming algorithms assume that conserved se...
Abstract—Design guidelines for resonant H-tree clock distribution networks are presented in this paper. A distributed model of a two-level resonant H-tree structure is described,...
- This paper describes new optical switching architectures supporting asynchronous variable-length packets. Output line contention is resolved by optical delay line buffers. By int...