18.217 Graph Theory and Additive Combinatorics, Fall 2019 by Zhao, Yufei

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15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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Combating China’s corruption through learning from Taobao’s business model. by Tan, Winifred Guan Xin., Soh, Rachel Mei Hui., Choo, Amelene Isabel.

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Game theoretical, statistical and behavioural aspects of peer evaluation by Tan, Catherine Ser Ping

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Challenges and Solution of Online Learning and Assessment Amidst the COVID-19 Pandemic: A Case Study in Universiti Utara Malaysia (S/O 14793) by Mohd Nordin, Nur Rasyidah, Omar, Wafa, Mohd Ridzuan, Iliya Nurul Iman

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Uncovering latent features in massive open online courses by Gillani, N

Refining learning models in grammatical inference by Wang, Xiangrui

“…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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3D reconstruction of building models based on 2D floorplans using statistical analysis by Gasiorowski, Pawel, Vassilev, Vassil

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MAS.622 / 1.126J Pattern Recognition & Analysis, Fall 2000 by Massachusetts Institute of Technology. Media Laboratory.

Subjects: “…machine and human learning…”
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Topics in Bayesian machine learning for finance by Spears, T

“…We show a relevant, modern case of incorporating machine learning model-derived view and uncertainty estimates, and the impact on portfolio allocation, with an example subsuming Arbitrage Pricing Theory. …”

Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning by Zhang, Chaoyu, Shi, Shanghao, Wang, Ning, Xu, Xiangxiang, Li, Shaoyu, Zheng, Lizhong, Marchany, Randy, Gardner, Mark, Hou, Y. Thomas, Lou, Wenjing

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Theoretical study of spermatozoa sorting by dielectrophoresis or magnetophoresis with supervised learning by Koh, James Boon Yong

“…The hydrodynamic force acting on the sperm is computed using Resistive Force Theory as well as Slender Body Theory, and the resulting velocity is compared qualitatively and quantitatively. …”
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Integrated user-interface acceptance model for e-learning system by Ramadiani, -

“…It creates challenges to incorporate the theories of user learning style, usability, and user benefit to evaluate and develop e-learning. …”
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Situasi Pembelajaran Bahasa Asing dalam Kalangan Pelajar di Universiti Utara Malaysia dalam Norma Baharu dengan Menggunakan Model UTAUT (S/O 14775) by Mansor, Masni, Abdul Hamid, Aida Husni, Sanguan, Soraya, Md Yusoff, Mohd Farid

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Utilization of Outdoor Activity to Improve Non-Science Background Students’ Understanding of Science Concepts by Kamaruddeen, Ahmed Mohammed, Nordin, Norani

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Advances in Sparse and Low Rank Matrix Optimization for Machine Learning Applications by Johnson, Nicholas André G.

“…This thesis advances both the theory and application of sparse and low rank matrix optimization, focusing on problems that arise in statistics and machine learning. …”
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A reformulation of additive models by Wozniakowski, Alex

“…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. Yet, the traditional methodology neglects the means to explicitly incorporate prior knowledge into the fit of an additive model, which is of great practical importance in regression tasks, especially in the low training example regime, where entirely data-driven learning is not always feasible. …”
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Does cognitive biased knowledge influence investor decisions? An empirical investigation using machine learning and artificial neural network by Bihari, Anshita, Dash, Manoranjan, Muduli, Kamalakanta, Kumar, Anil, Mulat-Weldemeskel, Eyob, Luthra, Sunil

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Exponential tail local Rademacher complexity risk bounds without the Bernstein condition by Kanade, V, Rebeschini, P, Vaškevičius, T

Homogenization of nonlinear blood flow in periodic networks: the limit of small haematocrit heterogeneity by Ben-Ami, Y, Wood, BD, Pitt-Francis, JM, Maini, PK, Byrne, HM

“…We demonstrate how the statistical distribution of vessel lengths and diameters, together with the average haematocrit level, affect the statistical properties of the macroscopic permeability tensor. …”