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» Dependability in Aggregation by Averaging
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ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 4 months ago
Semi-naive Exploitation of One-Dependence Estimators
—It is well known that the key of Bayesian classifier learning is to balance the two important issues, that is, the exploration of attribute dependencies in high orders for ensu...
Nan Li, Yang Yu, Zhi-Hua Zhou
SAC
2009
ACM
14 years 4 months ago
Exploiting weak dependencies in tree-based search
In this work, our objective is to heuristically discover a simplified form of functional dependencies between variables called weak dependencies. Once discovered, these relations...
Alejandro Arbelaez, Youssef Hamadi
IDA
2003
Springer
14 years 2 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
SIGIR
2005
ACM
14 years 3 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
HPCA
2003
IEEE
14 years 10 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