Knowledge is often highly specific to the conditions of acquisition, so there is limited transfer of learning from training to testing. A series of studies is reported examining specificity and transfer of learning in three very different tasks, including digit data entry, speeded aiming, and time...
Motor skills learning and the specificity of training principle. Tested the specificity of the training principle in a motor skills learning context using 2 criterion conditions (fatigued or nonfatigued) for performing a... ML Barnett,D Ross,RA Schmidt,... - 《Research Quarterly》 被引量: 68发...
Language transfer in language learning Susan M. GassLarry Selinker Jan 1985 1. List of Contributors 2. Preface 3. Introduction (by Gass, Susan M.) 4. A Role for the Mother Tongue (by Corder, S. Pit) 5. A New Account of Language Transfer (by Schachter, Jacquelyn) 6. Verification of ...
Voice Assistants:Speech recognition models that are initially trained for a specific language can be adapted to understand and respond to other languages. They use their foundational knowledge of speech patterns and voice commands to expand their language support. Become a Master of Machine Learning by...
Hyland (2002) observed that in many universities “there have been moves away from specificity in university ESP [English for specific purposes] classes towards teaching more ‘generic’ skills and language” (p. 387). Focusing on first language (L1) writing instruction in US higher education–a...
learningspecificity of diagnostic testtrainingtransfer techniqueperceptual learningfeature detectionHistorically, in many perceptual learning experiments, only a single stimulus is practiced, and learning is often specific to the trained feature. Our prior work has demonstrated that multi-stimulus learning (e...
Lastly, the RTGO algorithm was used to classify nutrient deficiency, and achieved 97.16% and 98.28% accuracy and specificity, respectively. Xu et al (2020) explored the performance of TL for nutrient deficiency diagnosis in rice by fine-tuning four models namely NasNetLarge, ResNet50, Inception...
NT occurs if TL results in worse performance; otherwise, it is a positive transfer. Interestingly, NT was not first studied in machine learning; instead, it has been a widely studied topic in educational psychology [19], [20]. Take language learning for example, NT occurs when learning in ...
As such, there is a need to pursue machine-learning strategies that can alleviate the dependence on high-fidelity data. In more general applications such as image classification or language processing, transfer-learning [40] has been established as an essential technique to address the scarcity of...
Training and transfer-of-learning effects in disabled and normal readers: Evidence of specific... Focuses on the experiments conducted to assess the specificity of training and transfer deficits in disabled readers aged seven to nine years. Number of ch... Benson,Nancy,J.,... - 《Journal of...