In the biological domain, extracting newly discovered functional features from the massive literature is a major challenging issue. To automatically annotate Gene References into Function (GeneRIF) in a new literature is the main goal of this paper. We tried to find GRIF words in a training corpus, and then applied these informative words to annotate the GeneRIFs in abstracts with several diffe...

In this paper, we derive the joint distribution function of the output of weighted median lters with independent but not identically distributed inputs on overlapping windows which may contain an image feature such as a line or edge. These results are used to derive the probability distributions of the diierence between the weighted medians calculated on two adjacent overlapping windows. As an ...

Deaton and Lubotsky (2003) found that the robust positive relationship across American cities between mortality and income inequality became small, insignificant, and/or non-robust once they controlled for the fraction of each city's population that is black. Ash and Robinson (Ash, M., & Robinson D. Inequality, race, and mortality in US cities: a political and econometric review. Social Science...

Organic compounds containing heteroatoms or multiple bonds can be conveniently represented as vertex- and edge-weighted molecular graphs. These atom and bond parameters can be computed for any organic compound with two parameter sets that we have recently defined, namely, the relative electronegativity X and the relative covalent radius Y weighting schemes. Structural descriptors computed with ...

TOPSIS is a multiple criteria method to identify solutions from a finite set of alternatives based upon simultaneous minimization of distance from an ideal point and maximization of distance from a nadir point. TOPSIS can incorporate relative weights of criterion importance. This paper reviews several applications of TOPSIS using different weighting schemes and different distance metrics, and c...

Sample weighting is widely used in deep learning. A large number of methods essentially utilize the learning difficulty training samples to calculate their weights. In this study, scheme called difficulty-based weighting. Two important issues arise when explaining scheme. First, a unified measure that can be theoretically guaranteed for does not exist. The difficulties are determined by multipl...

We describe a sequential universal data compression procedure for binary tree sources that performs the " double mixture. " Using a context tree, this method weights in an efficient recursive way the coding distributions corresponding to all bounded memory tree sources, and achieves a desirable coding distribution for tree sources with an unknown model and unknown parameters. Computational and ...

Using expert judgment data from the TU Delft's expert judgment data base, we compare the performance of different weighting schemes, namely equal weighting, performance based weighting from the classical model (Cooke, 1991), social network weighting and likelihood weighting. The picture that emerges with regard to social network weights is rather mixed. SN theory does not provide an alternative...

We propose to directly measure the importance of queries in the source domain to the target domain where no rank labels of documents are available, which is referred to as query weighting. Query weighting is a key step in ranking model adaptation. As the learning object of ranking algorithms is divided by query instances, we argue that it’s more reasonable to conduct importance weighting at que...

Precision measurement of the scalar perturbation spectral index, ns, from the Wilkinson Microwave Anisotropy Probe (WMAP) temperature angular power spectrum requires the subtraction of unresolved point-source power. Here we reconsider this issue, attempting to resolve inconsistencies found in the literature. First, we note a peculiarity in the WMAP temperature likelihood’s response to the sourc...