Different from traditional active learning based on sentence-wise full annotation (FA), this paper proposes active learning with dependency-wise partial annotation (PA) as a finer-grained unit for dependency parsing. At each iteration, we select a few most uncertain words from an unlabeled data pool, manually annotate their syntactic heads, and add the partial trees into labeled data for parser...

This paper discusses the propagation of the instantaneous uncertainty of PIV measurements to statistical and instantaneous quantities of interest derived from the velocity field. The expression of the uncertainty of vorticity, velocity divergence, mean value and Reynolds stresses is derived. It is shown that the uncertainty of vorticity and velocity divergence requires the knowledge of the spat...

We study the signal and background for the process tt̄h, h → WW at the LHC and a 100 TeV VLHC. Signals are studied in two-, three-, and four-lepton final states. We find a statistical uncertainty in the top-quark Yukawa coupling at the LHC of 16%, 8%, 12% for mh = 130, 160, 190 GeV, respectively. The statistical uncertainty at the VLHC is likely to be negligible in comparison with the systematic...

The problem of the quality assessment of results from geographical applications can be tackled with the help of sensitivity analysis and uncertainty analysis techniques. Sensitivity analysis studies the relationships between the output and the inputs of an application. Uncertainty analysis aims at quantifying the overall uncertainty associated with the response of an application. Both technique...

Local bundle adjustment (LBA) has recently been introduced to estimate the geometry of image sequences taken by a calibrated camera. Its advantage over standard (global) bundle adjustment is a great reduction of computational complexity, which allows real-time performances with a similar accuracy. However, no confidence measure on the LBA result such as uncertainty or covariance has yet been in...

By analyzing the reliability of a system, it is very often assumed that all probabilities are precise, that is, that every probability involved is perfectly determinable. However, the information about reliability of components may be supplied by experts and it is difficult to expect that all experts provide precise and true reliability assessments. One of the promising tools for dealing with s...

Active learning reduces the amount of manually annotated sentences necessary when training state-ofthe-art statistical parsers. One popular method, uncertainty sampling, selects sentences for which the parser exhibits low certainty. However, this method does not quantify confidence about the current statistical model itself. In particular, we should be less confident about selection decisions b...

For many years, at least since McCarthy and Hayes (1969), writers have lamented, and attempted to compensate for, the alleged fact that we often do not have adequate statistical knowledge for governing the uncertainty of belief, for making uncertain inferences, and the like. It is hardly ever spelled out what"adequate statistical knowledge"would be, if we had it, and how adequate statistical kn...