Ensemble hybrid learning methods for automated depression detection by Ansari, Luna, Ji, Shaoxiong, Chen, Qian, Cambria, Erik

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Predict marine vessels’ trajectory with machine learning methods by Cho, Siqi

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Exchange rate prediction based on machine learning methods by Hong, Yuyue

“…In this paper, we use machine learning methods mentioned above to forecast the exchange rate between five different currencies and the United States dollar. …”
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Stock market price forecasting with machine learning methods by Zhu, Huilin

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Sparse machine learning methods for financial signal processing by Pucha Srinivasa Sai Chakravarthy

“…The prime motivation of this thesis is to find applications of decision sciences and machine learning techniques to solve the mean – variance optimization problem to construct portfolios that are optimal and simple with the aid of less computation intensive methods. …”
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4.661 Theory and Method in the Study of Architecture and Art, Fall 2002 by Jones, Caroline

“…The ultimate goal is to bring students closer to discovering their own individual methods and voices as writers of art historical prose. …”
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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. ‘Morphological Learning in Spiking Neurons: A New Hardware Efficient Machine Learning Method’ explores the greater performance of spiking neurons with lumped non-linearity than their counterparts with linear synaptic summation of signals. …”
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How to learn Chinese characters? Exploring the effectiveness of different learning methods in young Singaporean children by Toh, Wendy Hwee Bin

“…The character learning experiments used the same sets of Chinese characters to study three different modalities (viewing, free writing and structured writing) and several different encoding methods (Pinyin – romanised phonetic coding system of the Chinese script, whole character, stroke sequence and radical knowledge) in six learning conditions. …”
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USN: a robust imitation learning method against diverse action noise by Yu, Xingrui, Han, Bo, Tsang, Ivor Wai-Hung

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Fuzzy granular computing classifier with practicle swarm optimization learning method / by Saber Salehi, 1982-, author 599901, Ali Selamat, supervisor 389865, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Fuzzy granular computing classifier with practicle swarm optimization learning method / by Saber Salehi, 1982-, author 599901

Graph-based deep learning method for human-object interaction recognition / by Zhang, Jiali, 1987-, author 655167, Zuriahati Mohd. Yunos, 1977-, supervisor 605156, Fakulti Komputeran 538688

Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

“…A thorough literature evaluation is required to have a comprehensive overview of the current research on utilizing deep learning methods for email spam classification. This review aims to identify the various deep learning techniques used for email spam, their effectiveness, and areas for future research. …”
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Comparison of Machine Learning-Based Methods for Narrowband Blind Adaptive Beamforming by Shonkwiler, Lara

“…This thesis describes the performance of two machine learning-informed beamforming methods — Classification-Based Transfer Learning (CBTL) [1] and Denoising-Based Transfer Learning (DBTL). …”
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Deep learning methods to study structurally heterogeneous macromolecules in vitro and in situ by Powell, Barrett M.

“…This thesis describes the conceptualization, implementation, and application of tomoDRGN, a deep learning method developed to resolve structurally heterogeneous macromolecules in situ. …”
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Robust and efficient deep learning methods for vision-based action recognition by Xu, Yuecong

“…We observe that while VDA methods enable the learning of transferable features across domains, these methods generally assume that the video source and target domains share an identical label space. …”
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Process control of water treatment facilities using machine learning method by Tey, Shiyang

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Deep learning method for driver identification using vehicle sensor data by Chen, Youzhen

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A unified fisher’s ratio learning method for spatial filter optimization by Li, Xinyang, Guan, Cuntai, Zhang, Haihong, Ang, Kai Keng

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Accumulated decoupled learning with gradient staleness mitigation for convolutional neural networks by Zhuang, Huiping, Weng, Zhenyu, Luo, Fulin, Toh, Kar-Ann, Li, Haizhou, Lin, Zhiping

“…In addition, our ADL is shown to have the fastest training speed among the compared methods. The code will be ready soon in https://github.com/ZHUANGHP/Accumulated- Decoupled-Learning.git.…”
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