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» On-line Learning and the Metrical Task System Problem
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EWRL
2008
13 years 9 months ago
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
Verena Heidrich-Meisner, Christian Igel
JDA
2006
77views more  JDA 2006»
13 years 7 months ago
On Multi-threaded Metrical Task Systems
Traditionally, on-line problems have been studied under the assumption that there is a unique sequence of requests that must be served. This approach is common to most general mod...
Esteban Feuerstein, Steven S. Seiden, Alejandro St...
JDWM
2006
104views more  JDWM 2006»
13 years 7 months ago
Navigation Rules for Exploring Large Multidimensional Data Cubes
Navigating through multidimensional data cubes is a nontrivial task. Although On-Line Analytical Processing (OLAP) provides the capability to view multidimensional data through ro...
Navin Kumar, Aryya Gangopadhyay, George Karabatis,...
ECCV
2008
Springer
14 years 9 months ago
Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric Learning
Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the...
Xianwang Wang, Xinyu Huang, Jizhou Gao, Ruigang Ya...
STACS
2004
Springer
14 years 28 days ago
Topology Matters: Smoothed Competitiveness of Metrical Task Systems
We consider metrical task systems, a general framework to model online problems. Borodin, Linial and Saks [BLS92] presented a deterministic work function algorithm (WFA) for metric...
Guido Schäfer, Naveen Sivadasan