Graph-based dependency parsing can be sped up significantly if implausible arcs are eliminated from the search-space before parsing begins. State-of-the-art methods for arc filt...
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
Digital system designs are the product of valuable effort and knowhow. Their embodiments, from software and HDL program down to device-level netlist and mask data, represent caref...
Andrew B. Kahng, John Lach, William H. Mangione-Sm...
We introduce the study of live social insect colonies as a relevant and exciting domain for the development and application of multi-agent systems modeling tools. Social insects p...