nonlinear system
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The Impact of Regularization on High-dimensional Logistic Regression
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Logistic regression is commonly used for modeling dichotomous outcomes.
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- North America > United States > California > Los Angeles County > Pasadena (0.04)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Regression (0.38)
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StabilizingDynamicalSystemsviaPolicyGradient Methods
In this paper, we provide a simple, model-free algorithm for stabilizing fully observed dynamical systems.
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Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
Neural Information Processing Systems http://nips.cc/
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- North America > United States > Illinois > Champaign County > Urbana (0.14)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
Learning-based methods hold the promise ofsolving hard nonlinear control problems inrobotics.
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- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.04)
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Neural Lyapunov Control for Discrete-Time Systems
However, finding Lyapunov functions for general nonlinear systems is a challenging task.
Technology:
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Artificial Intelligence > Robots (0.68)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Mathematical & Statistical Methods (0.47)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.46)