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» Learning Model Complexity in an Online Environment
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88
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ECIR
2011
Springer
14 years 1 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
96
Voted
ICML
2000
IEEE
15 years 10 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
ICPR
2006
IEEE
15 years 10 months ago
Unifying Background Models over Complex Audio using Entropy
In this paper we extend an existing audio background modelling technique, leading to a more robust application to complex audio environments. The determination of background audio...
Geoff A. W. West, Simon Moncrieff, Svetha Venkates...
BERTINORO
2005
Springer
15 years 3 months ago
On the Use of Online Analytic Performance Models, in Self-Managing and Self-Organizing Computer Systems
Current computing environments are becoming increasingly complex in nature and exhibit unpredictable workloads. These environments create challenges to the design of systems that c...
Daniel A. Menascé, Mohamed N. Bennani, Hong...
76
Voted
ICML
2001
IEEE
15 years 10 months ago
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots
This paper describes an algorithm for generating compact 3D models of indoor environments with mobile robots. Our algorithm employs the expectation maximization algorithm to fit a...
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, ...