In many applications, it is necessary to determine the similarity of two strings. A widely-used notion of string similarity is the edit distance: the minimum number of insertions, deletions, and substitutions required to transform one string into the other. In this report, we provide a stochastic model for string edit distance. Our stochastic model allows us to learn the optimal string edit dis...

Distance Learning (DL) has emerged as an innovative teaching method and is becoming very popular in today’s education. This study examines the learning outcomes and benefits of using a simulation game in a DL environment. We found that DL brings a different learning experience to students; however, they do not necessarily regard this method as superior to the traditional face-to-face method. Th...

In line with the popularity of computer and communication technologies, the largest country in the world — China — has joined the era of the Internet. As one of the most important activities on the Internet, distance learning is widely developed by key universities in China. The advantage of distance learning compared to traditional education is its flexibility, timely distribution, scalability...

The success of many machine learning algorithms (e.g. the nearest neighborhood classification and k-means clustering) depends on the representation of the data as elements in a metric space. Learning an appropriate distance metric from data is usually superior to the default Euclidean distance. In this paper, we revisit the original model proposed by Xing et al. [24] and propose a general formu...

Motivated by large-scale multimedia applications we propose to learn mappings from high-dimensional data to binary codes that preserve semantic similarity. Binary codes are well suited to large-scale applications as they are storage efficient and permit exact sub-linear kNN search. The framework is applicable to broad families of mappings, and uses a flexible form of triplet ranking loss. We ov...

introduction: the role of ovarian hormones and nitric oxide (no) in learning and memory and their interaction has been widely investigated. the present study carried out to evaluate different effect of l-name on spatial learning and memory of ovariectomized (ovx) and sham operated rats. methods: 32 rats were divided into 4 groups: 1) sham 2) ovx 3) sham-ln and 4) ovx-ln. the animals of groups 3...

10 In this study we develop pronunciation distances based on naive discriminative learning (NDL). 11 Measures of pronunciation distance are used in several subfields of linguistics, including 12 psycholinguistics, dialectology and typology. In contrast to the commonly used Levenshtein algorithm, 13 NDL is grounded in cognitive theory of competitive reinforcement learning and is able to generate...

Instructional designers and educators recognize the potential of mobile technologies as a learning tool for students and have incorporated them into the distance learning environment. However, little research has been done to categorize the numerous examples of mobile learning in the context of distance education, and few instructional design guidelines based on a solid theoretical framework fo...