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» Improving the SLA Algorithm Using Association Rules
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CIB
2004
57views more  CIB 2004»
15 years 2 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
123
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PAMI
2007
123views more  PAMI 2007»
15 years 1 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
DIS
2007
Springer
15 years 8 months ago
Discovering Communicable Models from Earth Science Data
Abstract. This chapter describes how we used regression rules to improve upon results previously published in the Earth science literature. In such a scientific application of mac...
Mark Schwabacher, Pat Langley, Christopher Potter,...
MIC
2003
132views Control Systems» more  MIC 2003»
15 years 3 months ago
A New Parameter Estimation Method for DSC Thermodynamic Property Evaluation - Part II: Runge-Kutta Implementation and Numerical
A lumped heat transfer model and parameter estimation technique are proposed for determining key parameters associated with a heat flux Differential Scanning Calorimeter (DSC). T...
Gregory E. Osborne, Jay I. Frankel, Adrian S. Saba...
135
Voted
EMNLP
2010
15 years 13 days ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda