3.868 hasil untuk machine learning
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Artikel Jurnal
Machine learning security and privacy:a survey
As an important method to implement artificial intelligence,machine learning technology is widely used in data mining,computer vision,natural language processing and other fields.With the development of machine learning,it brings amount of security and privacy issues which are getting more and more…
Dari koleksi institusi
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Artikel Jurnal
Machine learning security and privacy:a survey
As an important method to implement artificial intelligence,machine learning technology is widely used in data mining,computer vision,natural language processing and other fields.With the development of machine learning,it brings amount of security and privacy issues which are getting more and more…
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Artikel Jurnal
Machine learning in designing amorphous alloys
…composition design and property analysis are now often conducted using machine learning techniques because of their low experimental cost, short development cycle, strong data processing capability, and high predictive performance, among other advantages. They present new approaches and chances to…
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Artikel Jurnal
A survey of multimodal machine learning
…are characteristic of multimodes. As a result, based on classical machine learning strategies, multi-modal learning has become a valuable research topic, enabling computers to process and understand “big data”. The cognitive processes of humans involve perception through different sense organs…
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Artikel Jurnal
Machine learning and its application in seismology
…However, there is also artificial intelligent computer technology, i.e. machine learning in the era of big data. The excellent capability of machine learning for implicit relation extraction and complex task processing has enabled it to be applied to a variety of fields. In this article, we…
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Artikel Jurnal Teks lengkap
Terrorist Prediction Algorithm Based on Machine Learning
…against them,so as to reduce the loss of people and property.Therefore,machine learning methods are used to predict one or more suspects based on the multiple characteristics of terrorist attacks.Bayesian optimization is used to optimize four algorithms,including Bagging,decision tree,random forest…
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Artikel Jurnal Teks lengkap
Machine Learning Methods in Investor Risk Profiling
…questionnaire responses. The users' actions are then classified using machine learning methods. As a result, it was shown that the constructed model correctly predicts 65.78 % of investors’ decisions, whereas the survey correctly identified the risk profile of only 53.7 % of investors. These…
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Artikel Jurnal
A machine learning-based lithologic mapping method
In this study, a gradient boosting decision tree (GBDT)-based lithologic mapping method constituted by field survey and machine learning is introduced. The Duolong mineral district, Tibet, China is currently chosen for model test. During the practical application, geochemical data at a 1:50000…
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Artikel Jurnal
Intrusion detection method based on machine learning
A new intrusion detection method was presented based on machine learning for intrusion detection systems using shell commands as audit data.In the method,multiple dictionaries of shell command sequences of different lengths were constructed to represent the normal behavior profile of a network…
Juga tersedia di: DOAJ
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Artikel Jurnal
Application of machine learning in hepatocellular carcinoma
…for HCC, the overall prognosis for patients remains challenging. Machine learning (ML) , as a core technology of artificial intelligence, has been increasingly applied in the field of tumor research. Compared to traditional regression models, ML models excel at handling high dimensional data and…
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Artikel Jurnal
Network modal innovation for distributed machine learning
Distributed machine learning, as a popular computing architecture for artificial intelligence, still faces challenges of slow model training and poor data performance transmission.Traditional network modalities were un able to meet the communication needs of distributed machine learning scenarios…
Juga tersedia di: DOAJ
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Artikel Jurnal
Machine learning techniques for breast cancer diagnosis
In the last few years, machine learning techniques have been attracting even greater attention in the field of diagnostics, particularly when detecting breast cancer. Relevant studies dedicated to machine learning techniques in breast cancer diagnosis were analyzed in three areas: solving secondary…
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Artikel Jurnal
Applications of machine learning on magnesium alloys
In materials genetic engineering, data-driven machine learning techniques have garnered significant attention as a powerful new tool in the field of magnesium alloys. Traditional empirical trial-and-error methods and those based on density functional theory have struggled to keep pace with the…
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Artikel Jurnal Teks lengkap
Survey on Hierarchical Clustering for Machine Learning
Clustering analysis plays a key role in machine learning,data mining and biological DNA information.Clustering algorithms can be categorized into flat clustering and hierarchical clustering.Flat clustering mostly divides the data set into K parallel communities without intersections,but the real…
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Artikel Jurnal Teks lengkap
Credit Evaluation Model Based on Dynamic Machine Learning
With the development of computer technology,using machine learning algorithms to build automated evaluation models has become an important tool to for the financial institutions to conduct credit evaluation.However,currently,the credit evaluation model is still facing challenges:credit data is…
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Artikel Jurnal
Prospects of machine learning applications in affective disorders
…technologies, particularly in artificial intelligence, encompassing machine learning and deep learning. Given the growing interest in their use in psychiatry and the need to develop new approaches to psychiatric care. This review explores the current and promising directions for the application of…
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