Recently, thousands of companies have chosen to relocate their business processes from home country another country. The relocation process is usually called offshoring. Offshoring has made many controversial debates among economists. Discussing the effects it been focus a large number research papers. By using SWOT analysis, this paper investigates influence offshoring on both sides and develo...

AbstractRAW image datasets are more suitable than the standard RGB for ill-posed inverse problems in low-level vision, but not common literature. There also a few studies to focus on mapping sRGB images RAW format. Mapping from format could be relevant domain reverse style transferring since task is an reversing problem. In this study, we seek answer question: Can ISP operations modeled as fact...

background transferring research-based knowledge into practice would help to maximize the quality of health care. however, the role of knowledge producers and the organizational roles related to knowledge transfer have been largely ignored. objectives this study was accomplished with the aim of describing the organizational activities needed to transfer the findings of nursing research from the...

This paper discusses the implementation of the pervasive game PacMap. Openness and portability have been the main design objectives for PacMap. We elaborate on programming techniques which may be applicable to a broad range of location-based games that involve the movement of virtual characters over map interfaces. In particular, we present techniques to execute shortest path algorithms on spat...

Message-level and word-level polarity classification are two popular tasks in Twitter sentiment analysis. They have been commonly addressed by training supervised models from labelled data. The main limitation of these models is the high cost of data annotation. Transferring existing labels from a related problem domain is one possible solution for this problem. In this paper, we study how to t...

In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different albeit related domains. In contrast to many global classifiers, e.g. Support Vector Machines, our local classifier only takes into account the neighborhood information around unlabeled data points, and is hardly based ...

The main objective of transfer learning is to reuse knowledge acquired in a previous learned task, in order to enhance the learning procedure in a new and more complex task. Transfer learning comprises a suitable solution for speeding up the learning procedure in Reinforcement Learning tasks. In this work, we propose a novel method for transferring models to a hybrid reinforcement learning agen...