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» Regularized Learning with Networks of Features
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CCR
2008
83views more  CCR 2008»
14 years 12 months ago
The CoNEXT shadow TPC
This paper claims that Shadow Technical Program Committee (TPC) should be organized on a regular basis for attractive conferences in the networking domain. It helps ensuring that ...
Olivier Bonaventure, Augustin Chaintreau, Laurent ...
IJCNN
2006
IEEE
15 years 5 months ago
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
Lars Backstrom, Rich Caruana
SDM
2012
SIAM
307views Data Mining» more  SDM 2012»
13 years 2 months ago
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
Liang Ge, Aidong Zhang
IWANN
2007
Springer
15 years 6 months ago
Non-parametric Residual Variance Estimation in Supervised Learning
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
Elia Liitiäinen, Amaury Lendasse, Francesco C...
ICANN
2003
Springer
15 years 5 months ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho