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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...
ARTMED
1999
92views more  ARTMED 1999»
13 years 7 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
ICPR
2010
IEEE
13 years 6 months ago
Learning Non-Linear Dynamical Systems by Alignment of Local Linear Models
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Masao Joko, Yoshinobu Kawahara, Takehisa Yairi
ESTIMEDIA
2009
Springer
13 years 5 months ago
Optimal stack frame placement and transfer for energy reduction targeting embedded processors with scratch-pad memories
Abstract--Memory accesses are a major cause of energy consumption for embedded systems and the stack is a frequent target for data accesses. This paper presents a fully software te...
Lovic Gauthier, Tohru Ishihara
JCP
2007
154views more  JCP 2007»
13 years 7 months ago
Introducing Virtual Private Overlay Network Services in Large Scale Grid Infrastructures
—The computational Grid concept is gaining great popularity as the best way to deliver access to a wide range of distributed computing and data resources. But, as Grids move from...
Francesco Palmieri