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DATAMINE
2008
143views more  DATAMINE 2008»
15 years 3 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
110
Voted
BMCBI
2006
137views more  BMCBI 2006»
15 years 3 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
CORR
2007
Springer
111views Education» more  CORR 2007»
15 years 3 months ago
Capacity of Sparse Multipath Channels in the Ultra-Wideband Regime
—This paper studies the ergodic capacity of time- and frequency-selective multipath fading channels in the ultrawideband (UWB) regime when training signals are used for channel e...
Vasanthan Raghavan, Gautham Hariharan, Akbar M. Sa...
157
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CORR
2004
Springer
208views Education» more  CORR 2004»
15 years 3 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
141
Voted
NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 3 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
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