A Method for Large-Scale IPTV Quality Estimation
نویسندگان
چکیده
منابع مشابه
Large Scale Translation Quality Estimation
This study explores methods for developing a large scale Quality Estimation framework for Machine Translation. We expand existing resources for Quality Estimation across related languages by using different transfer learning methods. The transfer learning methods are: Transductive SVM, Label Propagation and Self-taught Learning. We use transfer learning methods on the available labelled dataset...
متن کاملA TWO-STAGE METHOD FOR DAMAGE DETECTION OF LARGE-SCALE STRUCTURES
A novel two-stage algorithm for detection of damages in large-scale structures under static loads is presented. The technique utilizes the vector of response change (VRC) and sensitivities of responses with respect to the elemental damage parameters (RSEs). It is shown that VRC approximately lies in the subspace spanned by RSEs corresponding to the damaged elements. The property is leveraged in...
متن کاملLarge-scale Multitask Learning for Machine Translation Quality Estimation
Multitask learning has been proven a useful technique in a number of Natural Language Processing applications where data is scarce and naturally diverse. Examples include learning from data of different domains and learning from labels provided by multiple annotators. Tasks in these scenarios would be the domains or the annotators. When faced with limited data for each task, a framework for the...
متن کاملA Practical Desalinization Model for Large Scale Application
Salinity of soil and water is the most important agricultural hazard in arid and semi-aridregions. In saline soils, yield production directly influences by soluble salts in the root zone aswell as by shallow water table depth. The first step for reclamation of such soils is reducingsalinity to optimum level by leaching. The objective of this study was to develop a practicalmodel to estimate wat...
متن کاملA partition-based algorithm for clustering large-scale software systems
Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2017
ISSN: 2475-8841
DOI: 10.12783/dtcse/aita2016/7579