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145
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ICML
2008
IEEE
16 years 7 months ago
The dynamic hierarchical Dirichlet process
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
Lu Ren, David B. Dunson, Lawrence Carin
174
Voted
HICSS
2008
IEEE
148views Biometrics» more  HICSS 2008»
16 years 1 months ago
Combining RFID Technology and Business Intelligence for Supply Chain Optimization' Scenarios for Retail Logistics
“Radio Frequency Identification” (RFID) and the related EPC standards promise to enable an automatic collection of supply chain data for optimization purposes. While extensive...
Henning Baars, Hans-Georg Kemper, Heiner Lasi, Mar...
190
Voted
AAAI
2007
15 years 9 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson
170
Voted
EDM
2008
127views Data Mining» more  EDM 2008»
15 years 8 months ago
Adaptive Test Design with a Naive Bayes Framework
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
206
Voted
AAAI
1990
15 years 8 months ago
A Proven Domain-Independent Scientific Function-Finding Algorithm
Programs such as Bacon, Abacus, Coper, Kepler and others are designed to find functional relationships of scientific significance in numerical data without relying on the deep dom...
Cullen Schaffer