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» Agent-Enriched Data Mining Using an Extendable Framework
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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 9 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
133
Voted
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 9 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
126
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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 9 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
IJCSA
2008
131views more  IJCSA 2008»
15 years 2 months ago
On Ubiquitous Integrated Computing
: Ubiquitous integrated computing makes possible new workflow processes and business models which can meet the challenges from the fast growing digital convergence. An integrated i...
Kari Anne Haaland Thorsen, Chunming Rong
ICAD
2004
15 years 4 months ago
Orchestration Within the Sonification of Basic Data Sets
The use of sonification as a means of representing and analysing data has become a growing field of research in recent years and as such has become a far more accepted means of wo...
Charlie Cullen, Eugene Coyle