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» Generality Is Predictive of Prediction Accuracy
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CSIE
2009
IEEE
16 years 1 months ago
A Computation Saving Partial-Sum-Global-Update Scheme for Perceptron Branch Predictor
With the pipeline deepen and issue width widen, the accuracy of branch predictor becomes more and more important to the performance of a microprocessor. State-of-theart researches...
Liqiang He
AUSAI
2004
Springer
16 years 2 days ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
EDM
2010
113views Data Mining» more  EDM 2010»
15 years 8 months ago
Using multiple Dirichlet distributions to improve parameter plausibility
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
Yue Gong, Joseph E. Beck, Neil T. Heffernan
KDD
2009
ACM
142views Data Mining» more  KDD 2009»
16 years 7 months ago
Quantification and semi-supervised classification methods for handling changes in class distribution
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
Jack Chongjie Xue, Gary M. Weiss
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 7 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002