Browsing by Subject Artificial intelligence
Showing results 1 to 18 of 18
Issue Date | Title | Author(s) |
2020 | Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare | AKMANDOR, AYTEN OZGE |
2013 | Applications of Machine Learning to Location Data | Kapicioglu, Berk |
2019 | Bayesian latent structure discovery for large-scale neural recordings | wu, anqi |
2018 | Combinatorial Inference for Large-Scale Data Analysis | Lu, Junwei |
2016 | Extracting Cognition out of Images for the Purpose of Autonomous Driving | Chen, Chenyi |
2012 | Hierarchical Bayesian Modeling: Efficient Inference and Applications | Wang, Chong |
2017 | Integrating Exponential Dispersion Models to Latent Structures | Basbug, Mehmet Emin |
2019 | Large-scale Multi-output Gaussian Processes for Clinical Decision Support | Cheng, Li-Fang |
2019 | Learning Visual Affordances for Robotic Manipulation | Zeng, Andy |
2020 | Machine learning for multi-subject fMRI analysis | Zhang, Hejia |
Feb-2018 | The malicious use of artificial intelligence : forecasting, prevention, and mitigation | Brundage, Miles; et.al. |
2019 | Meta-Learning for Data and Processing Efficiency | Ravi, Sachin |
2017 | Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding | Ma, Tengyu |
2016 | Optimal and Adaptive Online Learning | Luo, Haipeng |
2018 | Optimization of Mutual Information in Learning: Explorations in Science | Strouse, Daniel |
2018 | Privacy-Preserving Machine Learning via Data Compression & Differential Privacy | Chanyaswad, Thee |
2019 | ROBOTIC ASSEMBLY: A GENERATIVE ARCHITECTURAL DESIGN STRATEGY THROUGH COMPONENT ARRANGEMENTS IN HIGHLY-CONSTRAINED DESIGN SPACES | Wu, Kaicong |
2018 | Thompson Sampling for Bandit Problems | LIU, CHE-YU |