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Using developmental learning for network intrusion detection

Using developmental learning for network intrusion detection

Knoester, David B.

Text (2004)

Part of Electronic Theses & Dissertations

Towards a learning system for robot hand-eye coordination

Towards a learning system for robot hand-eye coordination

Howden, Sally Jean

Text (1996)

Part of Electronic Theses & Dissertations

Signal processing and machine learning approaches to enabling advanced sensing and networking capabilities in everyday infrastructure and electronics

Signal processing and machine learning approaches to enabling advanced sensing and networking capabilities in everyday infrastructure and electronics

Ali, Kamran (Scientist)

Text (2020)

Part of Electronic Theses & Dissertations

Online innovization : towards knowledge discovery and achieving faster convergence in multi-objective optimization

Online innovization : towards knowledge discovery and achieving faster convergence in multi-objective optimization

Text (2020)

Part of Electronic Theses & Dissertations

Efficient extended Kalman filter learning for feedforward layered neural networks

Efficient extended Kalman filter learning for feedforward layered neural networks

Benromdhane, Saida

Text (1996)

Part of Electronic Theses & Dissertations

Learning 3D model from 2D in-the-wild images

Learning 3D model from 2D in-the-wild images

Tran, Luan Quoc

Text (2020)

Part of Electronic Theses & Dissertations

Machine learning for pose selection

Machine learning for pose selection

Pei, Jun (Graduate of Michigan State University)

Text (2020)

Part of Electronic Theses & Dissertations

Collaborative learning : theory, algorithms, and applications

Collaborative learning : theory, algorithms, and applications

Text (2020)

Part of Electronic Theses & Dissertations

Algebraic topology and machine learning for biomolecular modeling

Algebraic topology and machine learning for biomolecular modeling

Text (2018)

Part of Electronic Theses & Dissertations

Integration of topological data analysis and machine learning for small molecule property predictions

Integration of topological data analysis and machine learning for small molecule property predictions

Text (2018)

Part of Electronic Theses & Dissertations

Adaptive on-device deep learning systems

Adaptive on-device deep learning systems

Text (2019)

Part of Electronic Theses & Dissertations

A systematic evaluation of computational models of phonotactics

A systematic evaluation of computational models of phonotactics

Text (2020)

Part of Electronic Theses & Dissertations

An automated 3D pose estimation system for sow health monitoring

An automated 3D pose estimation system for sow health monitoring

Text (2020)

Part of Electronic Theses & Dissertations

Learning paradigms for the identification of elastic properties of composites using ultrasonic guided waves

Learning paradigms for the identification of elastic properties of composites using ultrasonic guided waves

Gopalakrishnan, Karthik

Text (2020)

Part of Electronic Theses & Dissertations

Learning from noisily connected data

Learning from noisily connected data

Text (2012)

Part of Electronic Theses & Dissertations

Contributions to machine learning in biomedical informatics

Contributions to machine learning in biomedical informatics

Baytas, Inci Meliha

Text (2019)

Part of Electronic Theses & Dissertations

Generalization of ID3 algorithm to higher dimensions

Generalization of ID3 algorithm to higher dimensions

Bhat, Savita S.

Text (2004)

Part of Electronic Theses & Dissertations

Clustering, dimensionality reduction, and side information

Clustering, dimensionality reduction, and side information

Text (2006)

Part of Electronic Theses & Dissertations

Autonomous mental development in high dimensional and continuous state and action spaces and its application in autonomous learning of speech

Autonomous mental development in high dimensional and continuous state and action spaces and its application in autonomous learning of speech

Joshi, Ameet Vijay

Text (2003)

Part of Electronic Theses & Dissertations

Multi-task learning and its application to geospatio-temporal data

Multi-task learning and its application to geospatio-temporal data

Text (2017)

Part of Electronic Theses & Dissertations