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» Complexities for generalized models of self-assembly
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CCR
2008
86views more  CCR 2008»
15 years 4 months ago
An Integrated Model of Traffic, Geography and Economy in the Internet
Modeling Internet growth is important both for understanding the current network and to predict and improve its future. To date, Internet models have typically attempted to explai...
Petter Holme, Josh Karlin, Stephanie Forrest
JUCS
2008
186views more  JUCS 2008»
15 years 4 months ago
Model Interpreter Frameworks: A Foundation for the Analysis of Domain-Specific Software Architectures
: Prediction of the quality attributes of software architectures requires technologies that enable the application of analytic theories to component models. However, available anal...
George Edwards, Chiyoung Seo, Nenad Medvidovic
DAGSTUHL
2004
15 years 5 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 4 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 11 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox