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» Scalable Algorithms for Adaptive Statistical Designs
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2000
ACM
13 years 11 months ago
Scalable Algorithms for Adaptive Statistical Designs
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
APIN
2002
90views more  APIN 2002»
13 years 7 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
DAC
2012
ACM
11 years 9 months ago
Statistical design and optimization for adaptive post-silicon tuning of MEMS filters
Large-scale process variations can significantly limit the practical utility of microelectro-mechanical systems (MEMS) for RF (radio frequency) applications. In this paper we desc...
Fa Wang, Gokce Keskin, Andrew Phelps, Jonathan Rot...
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
11 years 9 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
MDM
2001
Springer
138views Communications» more  MDM 2001»
13 years 11 months ago
Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks
An system-level power management technique for massively distributed wireless microsensor networks is proposed. A power aware sensor node model is introduced which enables the embe...
Amit Sinha, Anantha Chandrakasan