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» Storageless Value Prediction Using Prior Register Values
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EDM
2009
147views Data Mining» more  EDM 2009»
13 years 3 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
HPCA
2003
IEEE
14 years 5 months ago
Dynamic Data Dependence Tracking and its Application to Branch Prediction
To continue to improve processor performance, microarchitects seek to increase the effective instruction level parallelism (ILP) that can be exploited in applications. A fundament...
Lei Chen, Steve Dropsho, David H. Albonesi
ESSMAC
2003
Springer
13 years 10 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
IJSYSC
2000
67views more  IJSYSC 2000»
13 years 5 months ago
Incorporating prior knowledge in fuzzy model identification
This paper presents an algorithm for incorporating a priori knowledge into data-driven identification of dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modell...
János Abonyi, Robert Babuska, Henk B. Verbr...
ECML
2001
Springer
13 years 9 months ago
Comparing the Bayes and Typicalness Frameworks
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
Thomas Melluish, Craig Saunders, Ilia Nouretdinov,...