Transfer learning is a recent field of machine learning research that aims to resolve the challenge of dealing with insufficient training data in the domain of interest. This is a particular issue with traditional deep neural networks where a large amount of training data is needed. Recently, StochasticNets was proposed to take advantage of sparse connectivity in order to decrease the number of...

Job, organizational and individual predictors of a successful implementation of an ergonomic training program were evaluated in a single-case study. The conceptual model of learning transfer of Baldwin and Ford (1988) was adapted for an ergonomic context. 116 employees in a large production company underwent a comprehensive ergonomic training. Transfer of training into practice was measured by ...

BACKGROUND AND PURPOSE Communication with patients is a core clinical skill in medicine that can be acquired through communication skills training. Meanwhile, the importance of transfer of communication skills to the workplace has not been sufficiently studied. This study aims to assess the efficacy of a 40-hour training program designed to improve patients' satisfaction and residents' communic...

During the past decades, working memory (WM) training has attracted considerable research attention, but its transfer to untrained tasks is still controversial. In a randomized controlled trial, we investigated the possible transfer effects of a novel sentence-level WM training regime. Sixty-eight healthy Finnish adults were randomized into either a WM training group or an active control group....

Different types of interventions have focused on trying to improve Executive Functions (EFs) due to their essential role in human cognition and behavior regulation. Although EFs are thought to be diverse, most training studies have targeted cognitive processes related to working memory (WM), and fewer have focused on training other control mechanisms, such as inhibitory control (IC). In the pre...

We tested the effectiveness of an intensive, on average 17-session, adaptive and computerized working-memory training program for improving performance on untrained, paper and pencil working memory tasks, standardized school achievement tasks, and teacher ratings of classroom behavior. Third-grade children received either a computerized working memory training for about 30 minutes per session (...

This study tested the common assumption that, to be most effective, working memory (WM) training should be adaptive (i.e., task difficulty is adjusted to individual performance). Indirect evidence for this assumption stems from studies comparing adaptive training to a condition in which tasks are practiced on the easiest level of difficulty only [cf. Klingberg (Trends Cogn Sci 14:317-324, 2010)...

This paper presents two instance-level transfer learning based algorithms for cross lingual opinion analysis by transferring useful translated opinion examples from other languages as the supplementary training data for improving the opinion classifier in target language. Starting from the union of small training data in target language and large translated examples in other languages, the Tran...

Recent aging studies on training in task switching found that older adults showed larger improvements to an untrained switching task as younger adults do. However, less clear is what type of cognitive control processes can explain these training gains as participants were trained with a particular type of switching task including bivalent stimuli, requiring high inhibition demands, and no task ...

In this chapter we review methods that model the transfer a person’s appearance undergoes when passing between two cameras with non-overlapping fields of view. Whereas many recent studies deal with re-identifying a person at any new location and search for universal signatures and metrics, here we focus on solutions for the natural setup of surveillance systems in which the cameras are specific...