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» Using Prior Knowledge: Problems and Solutions
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NIPS
2008
15 years 1 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
DCC
2002
IEEE
15 years 11 months ago
Joint Embedded Coding of Data and Grid Using First-Generation Wavelet Transforms
Many applications in a variety of scientific domains produce datasets that consist of a data field lying on a sampling grid that may not be uniformly spaced. However, progressive ...
James E. Fowler, Yonghui Wang
WEA
2004
Springer
107views Algorithms» more  WEA 2004»
15 years 5 months ago
An Algorithm to Identify Clusters of Solutions in Multimodal Optimisation
Clustering can be used to identify groups of similar solutions in Multimodal Optimisation. However, a poor clustering quality reduces the benefit of this application. The vast maj...
Pedro J. Ballester, Jonathan N. Carter
ICML
2006
IEEE
16 years 15 days ago
Semi-supervised nonlinear dimensionality reduction
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlo...
HICSS
2011
IEEE
279views Biometrics» more  HICSS 2011»
14 years 3 months ago
Analysis of IT/Business Alignment Situations as a Precondition for the Design and Engineering of Situated IT/Business Alignment
IT/business alignment has constantly been among the top priorities for IT executives. From a prescriptive, design research perspective, our analysis of related work shows that nei...
Jan Saat, Robert Winter, Ulrik Franke, Robert Lage...