— Existing human performance taxonomies which mostly can answer the question “what factors could affect the result” rather than “why it happened”, are usually used to ana...
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
This paper discusses both the theoretical and statistical errors obtained by various well-known dot products, from the canonical to pairwise algorithms, and introduces a new and mo...
Anthony M. Castaldo, R. Clint Whaley, Anthony T. C...
We propose practical stopping criteria for the iterative solution of sparse linear least squares (LS) problems. Although we focus our discussion on the algorithm LSQR of Paige and ...
Tablet PCs are gaining popularity but many older adults still struggle with pointing, particularly with two error types: missing, landing and lifting outside the target bounds; an...