One of the major components of MOOCs is the weekly assignment. Most of the assignments are multiple choice, short answer or programming assignments and can be graded automatically by the system. Since assignments that include argumentation or scientific writing are difficult to grade automatically, MOOCs often use a crowd-sourced evaluation of the writing assignments in the form of peer grading...

A method is presented to recover 3D scene structure and camera motion from multiple images without the need for correspondence information. The problem is framed as finding the maximum likelihood structure and motion given only the 2D measurements, integrating over all possible assignments of 3D features to 2D measurements. This goal is achieved by means of an algorithm which iteratively refine...

Many data sources are naturally modeled by multiple weight assignments over a set of keys: snapshots of an evolving database at multiple points in time, measurements collected over multiple time periods, requests for resources served at multiple locations, and records with multiple numeric attributes. Over such vectorweighted data we are interested in aggregates with respect to one set of weigh...

The optimization criterion and a practically feasible new algorithm is stated for the optimization of the index assignments of a multiple description unconstrained vector quantizer with an arbitrary number of descriptions. In the simulations, the index-optimized multiple description vector quantizer achieves significant gains in source SNR over scalar multiple description schemes.

We discuss the choice of gauge field basis in multiple–U(1) gauge theories. We find that there is a preferred basis, specified by the charge orthogonality condition, in which the U(1) gauge fields do not mix under one–loop renormalization group running. VPI–IPPAP–99–02 hep–ph/9903362 March 1999 ∗electronic address: [email protected] †electronic address: [email protected]

objectives: this present study aims to examine the effectiveness of cognitive-behavioral-based stress management training on anxiety in female ms patients. methods: this study employed a semi-experimental research method with pre-test post-test, control group and random assignment. the statistical population fully consisted of female ms patients referred to the iran ms association in 2014, from...

a new guideline for proper allocation of multipoles in the multiple multipole method (mmp) is proposed. in an ‘a posteriori’ approach, subspace fitting (ssf) is used to find the best location of multipole expansions for the two dimensional dielectric scattering problem. it is shown that the best location of multipole expansions (regarding their global approximating power) coincides with the med...

BACKGROUND When new concepts are inserted into the UMLS, they are assigned one or several semantic types from the UMLS Semantic Network by the UMLS editors. However, not every combination of semantic types is permissible. It was observed that many concepts with rare combinations of semantic types have erroneous semantic type assignments or prohibited combinations of semantic types. The correcti...

Theoretically the most powerful approach for tracking multiple targets is known to be Multiple Hypothesis Tracking (MHT) method. The MHT method, however, leads to combinatorial explosion and computational overload. By using an algorithm for finding the Kbest assignments, MHT approach can be considerably optimized in terms of computational load. A much simpler alternative of MHT approach can be ...

We describe a web server for the accurate mapping of experimental tags in serial analysis of gene expression (SAGE). The core of the server relies on a database of genomic virtual tags built by a recently described method that attempts to reduce the amount of ambiguous assignments for those tags that are not unique in the genome. The method provides a complete annotation of potential virtual SA...