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» Active Learning with Model Selection in Linear Regression
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CVPR
2010
IEEE
16 years 26 days ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
IROS
2007
IEEE
134views Robotics» more  IROS 2007»
15 years 11 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
ICML
2009
IEEE
16 years 5 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
OSDI
2008
ACM
16 years 5 months ago
Run-time Energy Consumption Estimation Based on Workload in Server Systems
This paper proposes to develop a system-wide energy consumption model for servers by making use of hardware performance counters and experimental measurements. We develop a real-t...
Adam Lewis, Soumik Ghosh, Nian-Feng Tzeng
140
Voted
COLT
2006
Springer
15 years 8 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert