Information System security is becoming a critical issue today, given the large-scale use of the Internet, the diversity of storage and different means of exchanging information. Solutions developed based on signature...
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作者：
Liu, JingLaw School
Xi'an Jiaotong University 28 Xianning West Road Shaanxi Province Xi'an China
After deep learning algorithms were proposed, artificial intelligence technology applications have achieved breakthrough development. Currently, the explosive growth of data provides sufficient nutrients for artificia...
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ISBN:
(纸本)9781510655133
After deep learning algorithms were proposed, artificial intelligence technology applications have achieved breakthrough development. Currently, the explosive growth of data provides sufficient nutrients for artificial intelligence, and deep learning algorithms have achieved breakthroughs in speech and visual recognition, making it possible for artificial intelligence industries to land and commercialize. With the continuous development of big data, deep learning and cloud computing, we can obtain more and richer data, develop more efficient algorithms, and have more powerful computing power, laying the foundation for another artificial intelligence research boom. However, with the application of AI-related technologies in industries such as information, social governance, and transportation, the problems and challenges of algorithmic collusion and algorithmic discrimination have gradually emerged. The operating principles of algorithms differ from the risk of algorithmic collusion that may result, and they also pose different degrees of regulatory challenges for antitrust enforcement. By understanding the data-driven competitive model of the market under the influence of algorithms, the efficient information interaction mechanism and the new features embodied in the evolution of machine-driven competition can prevent the breeding of technological monopolies. The impact of algorithms on the collusion problem has two dimensions: the first dimension is to change the environment of collusion;the second dimension is to be applied directly as a tool in the collusion process. This article attempts to analyze the challenges brought to modern market competition by exploring the state of artificial intelligence technology that causes data monopoly. Thus, In order to better regulate the evaluation and regulation of artificial intelligence algorithm collusion, this article proposes related solutions based on the Chinese perspective, including: 1) broaden the extension of the c
To improve the spectral efficiency in cognitive radio networks, it is essential for cognitive radio users to be equipped with intelligent learning capability. Many different learning methods have been applied in diffe...
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In this article we show how can be parallelized efficiently PAC-learning algorithms for some specifically represented concepts that cover a very wide class of concepts to be learned in spite of the difficulty of paral...
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ISBN:
(纸本)0889863490
In this article we show how can be parallelized efficiently PAC-learning algorithms for some specifically represented concepts that cover a very wide class of concepts to be learned in spite of the difficulty of parallelization of KDD based algorithms normally used in Data mining. Additionally we propose an alternative approach for doing KDD that makes a trade-off between performance and precision using parallel versions of PAC-learning algorithms for learning PAC-learnable concepts (concepts expressed in k-CNF and monotonie k-DNF, simple decision lists, equivalence query simulation using less examples, logic recursive programs, concepts with finite Vapnik-Chervonenkis dimension).
This paper provides an approach to Port2Port Business Process Intelligence (BPIs) helping decision makers in tackling constant changes in governance responsibilities. This consideration leads to the need for Port2Port...
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Lifelong Machine learning, or LML, considers systems that can learn many tasks from one or more domains over its lifetime. The goal is to sequentially retain learned knowledge and to selectively transfer that knowledg...
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The new algorithm based on network decomposition into layers and estimation of the local weights by using Extended Kalman Filter (EKF) derived from the local optimality criteria is proposed in this paper. Local optima...
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The new algorithm based on network decomposition into layers and estimation of the local weights by using Extended Kalman Filter (EKF) derived from the local optimality criteria is proposed in this paper. Local optimality criteria are formulated on the basis of the a specific output error back-propagation. Simulation examples show a high efficiency of the proposed algorithm from the point of view of both convergence rate and generalization capabilities.
Aluminium smelting processes are typically complex and multidisciplinary, hard to be modeled and controlled. Recent advances in technology, such as IIoT and the Industrie 4.0 paradigm, have helped this industry to ove...
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Innovations in neuro-technology have created a potential gap in our ability to measure human performance and decision making in dynamic environments. Therefore, a need exists to create more reliable testing methodolog...
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Incremental learning refers to learning from streaming data, which arrive over time, with limited memory resources and, ideally, without sacrificing model accuracy. This setting fits different application scenarios su...
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ISBN:
(纸本)9782875870278
Incremental learning refers to learning from streaming data, which arrive over time, with limited memory resources and, ideally, without sacrificing model accuracy. This setting fits different application scenarios such as learning in changing environments, model personalisation, or lifelong learning, and it offers an elegant scheme for big data processing by means of its sequential treatment. In this contribution, we formalise the concept of incremental learning, we discuss particular challenges which arise in this setting, and we give an overview about popular approaches, its theoretical foundations, and applications which emerged in the last years.
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