1. Augmenting the bootstrap to analyze high-dimensional genomic data Open Access Author: Tyekucheva, Svitlana Title: Augmenting the bootstrap to analyze high-dimensional genomic data Graduate Program: Statistics Keywords: large-p-small-nbootstrapresamplingregularization File: Download sv_thesis.pdf Committee Members: Francesca Chiaromonte, Committee Chair/Co-ChairDavid Humter, Committee MemberBing Li, Committee MemberKateryna Dmytrivna Makova, Committee Member
2. Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories Open Access Author: Qiu, Zhicong Title: Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories Graduate Program: Electrical Engineering Keywords: Active learning (AL)cross entropyinductive biaslogistic regressionp-valuerare classesregularizationsemisupervised learning (SL).Active learningcross entropyinductive biaslogistic regressionp-valuerare classesregularizationsemi-supervised learninggroup anomaly detectionnetwork intrusion detectionGaussian mixture modelBonferroni approximation File: Download Comp.pdf Committee Members: David Jonathan Miller, Dissertation Advisor/Co-AdvisorDavid Jonathan Miller, Committee Chair/Co-ChairJohn F Doherty, Committee MemberGeorge Kesidis, Committee MemberSencun Zhu, Outside Member
3. RECONSTRUCTION OF ULTRASOUND TOMOGRAPHY FOR CANCER DETECTION USING ADVANCED REGULARIZATION METHODS Open Access Author: Yun, Xingzhao Title: RECONSTRUCTION OF ULTRASOUND TOMOGRAPHY FOR CANCER DETECTION USING ADVANCED REGULARIZATION METHODS Graduate Program: Computer Science and Engineering Keywords: ultrasound tomographyinverse scattering problemregularization File: Download Xingzhao_Yun_Master_thesis.pdf Committee Members: Almekkawy Mohamed, Thesis Advisor/Co-Advisor
