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A reformulation of additive models
Published 2022“…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. …”
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Thesis-Doctor of Philosophy -
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Statistics and Probability Theory : In Pursuit of Engineering Decision Support /
Published [201“…The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. …”
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software, multimedia -
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Refining learning models in grammatical inference
Published 2008“…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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Thesis -
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Multiscale approach to nematic liquid crystals via statistical field theory
Published 2018“…We propose an approach to a multiscale problem in the theory of thermotropic uniaxial nematics based on the method of statistical field theory. …”
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Journal Article -
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Combating China’s corruption through learning from Taobao’s business model.
Published 2013Get full text
Final Year Project (FYP) -
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Inference for autoregressive and moving average models with extreme value distribution via simulation study
Published 2015“…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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Thesis -
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Pattern of the strings of the n -th order limit language
Published 2024Get full text
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Conference or Workshop Item -
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18.217 Graph Theory and Additive Combinatorics, Fall 2019
Published 2024Get full text
Learning Object -
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3D reconstruction of building models based on 2D floorplans using statistical analysis
Published 2024Get full text
Conference or Workshop Item -
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Integrated user-interface acceptance model for e-learning system
Published 2014“…Based on t-value, loading factors, and the relative suitability of each attribute, the User Interface Acceptance Model for e-learning can be accepted. Based on the Goodness of Fit statistical value in the first and the second model, the model of e-learning user interface has a highly significant correlation with e-learning acceptance. …”
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Thesis -
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Racial discrimination against prospective tenants : evidence from the room rental market in Singapore
Published 2020Get full text
Final Year Project (FYP) -
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Game theoretical, statistical and behavioural aspects of peer evaluation
Published 2021Get full text
Final Year Project (FYP) -
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Hedonic regression model : influence of housing characteristics and housing lease on HDB's resale price
Published 2021Get full text
Final Year Project (FYP) -
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MAS.622 / 1.126J Pattern Recognition & Analysis, Fall 2000
Published 2000Subjects: “…machine and human learning…”
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Learning Object -
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