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» Robust Learning - Rich and Poor
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DSMML
2004
Springer
15 years 2 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
ICML
2009
IEEE
15 years 10 months ago
Constraint relaxation in approximate linear programs
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
Marek Petrik, Shlomo Zilberstein
88
Voted
NSDI
2008
14 years 11 months ago
Best Practices for the Care and Feeding of a Program Committee, and Other Thoughts on Conference Organization
I provide several lessons learned from running a number of conference program committees over the past decade, as well as some additional thoughts on conference organization and t...
Fred Douglis
ICC
2007
IEEE
160views Communications» more  ICC 2007»
15 years 3 months ago
Robust Statistics Based Expectation-Maximization Algorithm for Channel Tracking in OFDM Systems
— Decision directed channel tracking (DDCT) at high fade rates in OFDM based systems is addressed in this paper. Existing DDCT algorithms like the expectation-maximization (EM) a...
Sheetal Kalyani, Krishnamurthy Giridhar
ECCV
2006
Springer
14 years 11 months ago
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao