Descriptor learning using convex optimisation by Simonyan, K, Vedaldi, A, Zisserman, A

“…Both of these problems use large margin discriminative learning methods. The third contribution is a new method of obtaining the positive and negative training data in a weakly supervised manner. …”

Machine learning for mathematical question difficulty classification by Pang, Jarald Qi Kai

“…The same 4 machine learning methods were then again used to classify the difficulty of each question using the vectorized question and predicted topic. …”
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You look familiar … but what’s your name? Word learning in Singaporean older adults by Tan, Justina Yu Han

“…The findings suggest that age differences in word learning may require specialized learning methods to meet different needs.…”
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Domain transfer multiple kernel learning by Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong

“…Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has only a limited number of labeled samples. …”
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Soft computing based controllers for automotive air conditioning system with variable speed compressor. by Ng, Boon Chiang.

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The technological-industrial complex and education : navigating algorithms, datafication, and artificial intelligence in comparative and international education / by Curtis, Sydney Marie Simone, author 654828, Desimoni, Victoria, author 654829, Crumley-Effinger, Max, author 654830, Salajan Florin 654831, Jules, Tavis Deryck 654858, SpringerLink (Online service)

“…The advent of advanced technologies, particularly AI, has been a game changer for research, teaching, and learning methods. It is within this context and at the intersection of deglobalization (and the retreat towards regionalization) and the rise of the fourth industrial revolution -- that blends the biological, physical, and cyber-physical together -- that this project seeks to describe the benefits and consequences of datafication and AI for the field of CIE…”
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Using AI / machine learning to solve real world problems by Lok, Ignatius Zhengrong

“…With the development of technology, it is common to see machine learning methods used and adopted to help solve real-world problems of both individuals and well as large corporations. …”
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Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

“…Deep learning methods have proved a promising performance for electroencephalography-based brain-computer interfaces (EEG-BCI). …”
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Cross-modal retrieval: a review of methodologies, datasets, and future perspectives by Han, Zhichao, Azman, Azreen Bin, Rina Binti Mustaffa, Mas, Binti Khalid, Fatimah

“…Currently, the most popular deep learning methods have achieved remarkable results in the field of data processing and graphics. …”
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Liquid slosh suppression by implementing data-driven fractional order PID controller based on marine predators algorithm by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali, Nik Mohd Zaitul Akmal, Mustapha, Shahrizal, Saat

“…The effectiveness of the FOPID controller tuning method based on MPA was assessed by evaluating the performance criteria in terms of convergence curve of the average fitness function, statistical results, and Wilcoxon’s rank test. …”
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Study on designer surface plasmon resonators by Gao, Fei

“…Chapter 2 introduces a dispersion tuning method on designer surface plasmon resonators. …”
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Investigation of the sequential accelerator on the perceptron for pattern recognition by Sirote Saetang.

“…Machine Learning methods have been widely used in recent years in many areas, such as object recognition, autonomous vehicle, recovery rate of symptoms and stock prediction. …”
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Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease by Walmsley, R, Chan, S, Smith-Byrne, K, Ramakrishnan, R, Woodward, M, Rahimi, K, Dwyer, T, Bennett, D, Doherty, A

“…</p> <p><strong>Conclusion</strong> Machine-learning methods classified movement behaviours accurately in free-living accelerometer data. …”

Deep learning with constrained data resource by Mao, Jiangtian

“…The method can achieve a better accuracy compared to simple full-supervised learning methods, especially the problem becomes to a one-shotting problem.…”
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An Intelligent Cooperative Control Architecture by How, Jonathan, Choi, Han-Lim, Undurti, Aditya, Redding, Joshua

“…This paper presents an extension of existing cooperative control algorithms that have been developed for multi-UAV applications to utilize real-time observations and/or performance metric(s) in conjunction with learning methods to generate a more intelligent planner response. …”
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Deep Reinforcement Learning in complex environments by Nardelli, N

“…The presence of multiple agents breaks some of the key assumptions that provide necessary stability to standard learning methods, creating unique and interesting problems. …”

Precious metal price prediction using deep neural networks by Peng, Zhiling

“…Keywords: gold price prediction, deep learning methods, regression models, the LSTM network, the Bi-LSTM model, multiple factors…”
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Commodity price prediction using neural networks by Seah, Isaac Zhe Hao

“…Furthermore, another form of supervised learning method: Support Vector Network(SVM), is briefly visited. …”
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QR-code based real-time interactive learning in iOS by Teng, Shi Xuan

“…The final year project titled “QR-Code Based Real-Time Interactive Learning in iOS” aims to develop a mobile application for Apple iOS Devices (iPhone, iPad) to enhance the learning methods, in-class participation, engagement and interaction between the lecturer and the students. …”
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Enhanced extreme learning machines for image classification by Cui, Dongshun

“…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
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