In machine learning problems, labeled data are often in short supply. One of the feasible solution for this problem is transfer learning. It can make use of the labeled data from other domain to discriminate those unlabeled data in the target domain. In this paper, we propose a transfer learning framework based on similarity matrix approximation to tackle such problems. Two practical algorithms...

This article examines the knowledge transfer challenge and presents a new, more effective method for transferring critical knowledge. More specifically it discusses conditions required for effective knowledge transfer, the current approaches for knowledge transfer, and presents Digital Coaching Technology (DCT) as the most efficient and advanced form of knowledge transfer. Organizations current...

abstract agricultural sector is a developmental domain and id a way for achievement to goals that are anticipated in iran perspective document. from this view, knowledge management (km) is critical for starting and continuing this way. this paper investigate on process of applicable and especial knowledge in agricultural sector (a case study in yazd province). also ranks stages of knowledge pro...

El-Jardali and Fadllallah provide an excellent summary of the many dimensions of knowledge use, and the breath of issues and activities that must be considered if knowledge is to be put into practice. However, reliance on a continuum (rather than a cyclical, multidirectional, systems) model creates a number of limitations, particularly when promoting evidence-informed action in the areas of hea...

Purpose The purpose of this paper is to systematically synthesize the extant literature knowledge sharing (KS) and transfer (KT) in small medium enterprise (SME) context contribute with predictions emerging themes. Design/methodology/approach Applied a systematic review using three bibliometric techniques: (1) textual analysis for keywords abstracts identify research hotspots, (2) co-citation r...