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» MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
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ICML
2010
IEEE
15 years 14 days ago
Multiple Non-Redundant Spectral Clustering Views
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
Donglin Niu, Jennifer G. Dy, Michael I. Jordan
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
14 years 12 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
WWW
2006
ACM
16 years 2 months ago
A web-based kernel function for measuring the similarity of short text snippets
Determining the similarity of short text snippets, such as search queries, works poorly with traditional document similarity measures (e.g., cosine), since there are often few, if...
Mehran Sahami, Timothy D. Heilman
ICISP
2010
Springer
15 years 6 months ago
Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest
High-resolution nuclear magnetic resonance (NMR) spectra contain important biomarkers that have potentials for early diagnosis of disease and subsequent monitoring of its progressi...
Guangzhe Fan, Zhou Wang, Seoung Bum Kim, Chivalai ...
PR
2008
144views more  PR 2008»
15 years 1 months ago
Kernel quadratic discriminant analysis for small sample size problem
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
Jie Wang, Konstantinos N. Plataniotis, Juwei Lu, A...