15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

Get full text

Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

“…This paper is aimed at deriving the universality of the largest eigenvalue of a class of high-dimensional real or complex sample covariance matrices of the form WN = Σ 1 /2 XX* Σ 1/2. …”
Get full text
Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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

Get full text

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

Get full text

Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

“…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
Get full text

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

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

Subjects: “…machine and human learning…”
Get full text

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

Get full text

Factors Influencing Students Intention to Choose Career of Halal Food Industry in Malaysia using Theory of Planned Behavior by Abu Bakar, Nashirah, Rosbi, Sofian, Haji Hashim, Hydzulkifli, Che Arshad, Noraziah

“…The value of Cronbach’s alpha statistical test for measuring internal reliability is larger than 0.7 for all four variables. …”
Get full text

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

“…By fitting the model to a tenth of the sample size required for statistical convergence, predicted results are precise and accurate to a handful of percentage points. …”
Get full text
Get full text

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. …”
Get full text

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

Get full text

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

Get full text

Exploratory Survey on UUM Student’s Acceptance Towards the Founding of Waqf Institution For Education by Omar, Hydzulkifli Hashim, Abu Bakar, Azizi, Basary, Noor Faezah, Shuib, Mohd Sollehudin, Yusuff, Noraini

“…All the data are analysed using software of Statistical Package for Social Science (SPSS) by conducting statistical method namely, Independent Samples T-test, Analysis of Variance (ANOVA), Pearson Corellation and Multiple Linear Regression analysis to achieve the objectives of this research. …”
Get full text

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. …”
Get full text

Macroeconomic and Firm-Specific Effects on Islamic Deposits Sustainability by Ab Rahman, Sazana, Ahmad, Nor Hayati, Che Arshad, Noraziah

Get full text
Get full text