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» Improving the SLA Algorithm Using Association Rules
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107
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DAC
2004
ACM
16 years 1 months ago
Sparse transformations and preconditioners for hierarchical 3-D capacitance extraction with multiple dielectrics
Capacitance extraction is an important problem that has been extensively studied. This paper presents a significant improvement for the fast multipole accelerated boundary element...
Shu Yan, Vivek Sarin, Weiping Shi
99
Voted
PAMI
2008
162views more  PAMI 2008»
15 years 16 days ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
113
Voted
FLAIRS
2008
15 years 2 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
110
Voted
BMCBI
2008
141views more  BMCBI 2008»
15 years 21 days ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
129
Voted
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 4 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang