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» Characterization-Free Behavioral Power Modeling
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CONTEXT
2001
Springer
14 years 2 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
DOCENG
2004
ACM
14 years 3 months ago
Behavioral reactivity and real time programming in XML: functional programming meets SMIL animation
XML and its associated languages are emerging as powerful authoring tools for multimedia and hypermedia web content. Furthermore, intelligent presentation generation engines have ...
Peter R. King, Patrick Schmitz, Simon J. Thompson
HICSS
2000
IEEE
102views Biometrics» more  HICSS 2000»
14 years 2 months ago
Strategic Behavior in Spot Markets for Electricity when Load is Stochastic
In the first part of the paper, daily price data for the past three summer seasons in the PJM wholesale market are used to estimate a stochastic regime switching model. These data...
Timothy Mount
ICS
2010
Tsinghua U.
13 years 8 months ago
Decomposable and responsive power models for multicore processors using performance counters
Abstract—Power modeling based on performance monitoring counters (PMCs) has attracted the interest of many researchers since it become a quick approach to understand and analyse ...
Ramon Bertran, Marc González, Xavier Martor...
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 7 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li