Dorothee D. Haroske, “Embeddings Of Some Weighted Function Spaces On R_n: Entropy and Approximation Numbers (A Survey of some recent results),” 1997.
Ridgway Scott, “Tutorial on Sobolev Spaces,“
Shannon Sampling and Learning Theory
These two papers by Steve Smale and Ding-Xuan Zhou:
Shannon Sampling and Function Reconstruction from Point Values
Shannon Sampling II. Connections to Learning Theory
Statistical Performance of Support Vector Machines
Tonight, I found this paper by Blanchard, Bousquet, and Massart: “Statistical Performance of Support Vector Machines” (2008)
Compression-related ideas in Machine Learning
Shuheng Zhou, John Lafferty, and Larry Wasserman, “Compressed Regression,” 2008.
A few papers on estimation and control of robotic systems
These are papers that I want to read (or can be considered for our reading group).
- Dj. Mitrovic, S. Klanke, and S. Vijayakumar, “Adaptive Optimal Control for Redundancy Actuated Arms,” SAB 2008.
- G. Chesi and Y. S. Hung, “Global Path-Planning for Constrained and Optimal Visual Servoing,” IEEE Trans. Robotics, 2007.
- J.A. Ting, M. Mistry, J. Peters, S. Schaal, J. Nakanishi, “A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics,” RSS 2006.
- J.A. Ting, A. D’Souza, S. Vijayakumar, and S. Schaal, “A Bayesian Approach to Empirical Local Linearization for Robotics,” ICRA 2008.
Seems to be relevant to our IROS 2007 paper (A. M. Farahmand, A. Shademan, and M. Jagersand, “Global Visual-Motor Estimation for Uncalibrated Visual Servoing,” IROS 2007. Check later.