Automatic short answer grading (ASAG) techniques are designed to automatically assess short answers written in natural language having a length of a few words to a few sentences. In this paper, we report an intriguing finding that the set of short answers to a question, collectively, share significant lexical commonalities. Based on this finding, we propose an unsupervised ASAG technique that o...

This paper deals with systems of parametric equations over the reals, in the framework of interval constraint programming. As parameters vary within intervals, the solution set of a problem may have a non null volume. In these cases, an inner box (i.e., a box included in the solution set) instead of a single punctual solution is of particular interest, because it gives greater freedom for choos...

Recommending travel routes for tourists has become a research hotspot in the present tourism industry. Various machine learning methods have been well studied recommendation systems. However, accuracy of these systems is not up to expected levels. In order increase ranking accuracy, as as, recall rate recommended by personalized algorithm, this paper, fuzzy consistent matrix technique introduce...

In Peer-to-Peer networks based on consistent hashing and ring topology each peer is responsible for an interval chosen (pseudo-) randomly on a circle. The topology of the network, the communication load and the amount of data a peer stores depends heavily on the length

1 Abstract We describe a consistent hashing algorithm which performs multiple lookups per key in a hash table of nodes. It requires no additional storage beyond the hash table, and achieves a peak-to-average load ratio of 1 + ε with just 1 + 1 ε lookups per key.

We consider maximum likelihood estimation of finite mixture of uniform distributions. We prove that the maximum likelihood estimator is strongly consistent, if the scale parameters of the component uniform distributions are restricted from below by exp(−nd), 0 < d < 1, where n is the sample size.