Human and Machine Learning

Kao, Ying-Fang; Venkatachalam, Ragupathy

doi:10.1007/s10614-018-9803-z

Cited by 18 publications

(11 citation statements)

References 40 publications

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“…The form of transfer learning demonstrated by our dynamic architecture-acquiring new knowledge (new expert) based on indirect knowledge of what other parts of the network (old experts) know-has not been reported before to our knowledge. This form of transfer learning is reminiscent of "learning by analogy," a learning skill humans are very good at, but machines continue to struggle with [31], [32]. Through our framework, this dynamic form of transfer could be extended to much larger networks, utilizing a myriad of experts.…”

Section: Discussionmentioning

confidence: 99%

A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex

Tsuda

Tye

Siegelmann

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

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The prefrontal cortex encodes and stores numerous, often disparate, schemas and flexibly switches between them. Recent research on artificial neural networks trained by reinforcement learning has made it possible to model fundamental processes underlying schema encoding and storage. Yet how the brain is able to create new schemas while preserving and utilizing old schemas remains unclear. Here we propose a simple neural network framework that incorporates hierarchical gating to model the prefrontal cortex’s ability to flexibly encode and use multiple disparate schemas. We show how gating naturally leads to transfer learning and robust memory savings. We then show how neuropsychological impairments observed in patients with prefrontal damage are mimicked by lesions of our network. Our architecture, which we call DynaMoE, provides a fundamental framework for how the prefrontal cortex may handle the abundance of schemas necessary to navigate the real world.

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Section: Discussionmentioning

confidence: 99%

A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex

Tsuda

Tye

Siegelmann

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

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“…Neuron is actually a mathematical model constructed by simulating biological neurons [13]. Its function is similar to biological neurons.…”

Section: Machine Learning Theorymentioning

confidence: 99%

Piano Teaching Improvement Based on Machine Learning and Artificial Intelligence

Zhang

2022

Security and Communication Networks

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With the development of modern piano and the increasing demand of people for music hobbies, the traditional piano teaching mode had exposed more and more problems. Artificial intelligence accelerated the development of music education to a certain extent and effectively improved the teaching effect of teachers to piano lovers. If artificial intelligence and machine learning were organically integrated, the application of intelligent piano can be more wide. Therefore, this paper proposed a piano teaching model based on machine learning and artificial intelligence, which aimed to provide support for improving the quality of piano teaching. Firstly, based on the analysis of machine learning-related theories, this paper expounded the characteristics of neural network in data processing and gave the process of the integration of machine learning and artificial intelligence and its application advantages in music teaching. Secondly, according to the interactive needs between intelligent piano and learners, this paper put forward intelligent piano teaching assistance methods and constructed an intelligent piano teaching service management system by improving the teaching information resource base. Finally, it analyzed the influence of artificial intelligence on piano teaching from different angles. In order to test the effectiveness of the piano teaching mode proposed in this paper, the piano learners under different teaching modes were investigated and counted. From the piano teaching effect and the evaluation results of the piano practitioners on the teaching mode, it was known that compared with the traditional piano teaching mode, the piano teaching mode proposed in this paper had achieved remarkable results in both theoretical teaching and practical operation. It can significantly improve the quality of piano teaching and promote the enthusiasm of learners.

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“…The model shows great advantages in decision validation and data availability [ 12 ]. Kao and Venkatachalam studied the relationship among business model, big data, and enterprise innovation performance and found that big data technology can be employed as a driving force for enterprise innovation and development [ 13 ].…”

Section: Review and Analysis Of Related Researchmentioning

confidence: 99%

Construction of Internet Business Innovation Network Model and Data Image Research under the Background of Game Theory

Bai

2022

Computational Intelligence and Neuroscience

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Facing the fierce market competition, enterprises not only need a deeper understanding and concept renewal in marketing theory but also need a set of standardized, practical, and efficient technical means and methods. Therefore, it is urgent to develop advanced marketing analysis tools and marketing decision-making methods. Based on game theory and neural network model, this study simplifies the existing research methods. By introducing different models, an image analysis and decision-making model based on game theory and neural network is constructed. It mainly aims at enterprise decision-making. The method used is to simulate various decision-making processes of enterprises by establishing neural network model and game model. At the same time, the image simulation of the model is carried out. The results show that the highest market share of the selected products is 36.1%, and the highest brand awareness is 9 points. The product with the second market share has better quality, 8 brand awareness points, and the highest dealer fee (2.3 yuan). Market share is less affected by product price and dealer expenses. The accuracy of the designed market share neural network model is 93%. This shows that the increase of market share is not realized simply by reducing the price but by increasing the profits of distributors and improving the brand image. Market leaders have the greatest revenue and profits. There is a positive correlation between the efforts of managers and the results achieved. Internet employees’ work effort is positively correlated with their basic salary. Different decisions have different effects on business models. The research of this paper provides a new idea for the innovation and development of Internet enterprise business model.

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Human and Machine Learning

Cited by 18 publications

References 40 publications

A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex

A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex

Piano Teaching Improvement Based on Machine Learning and Artificial Intelligence

Construction of Internet Business Innovation Network Model and Data Image Research under the Background of Game Theory

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