325 search results - page 56 / 65 » LAPIN-SPAM: An Improved Algorithm for Mining Sequential Patt... |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
PR
2007
13 years 7 months ago
2007
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Recent work has shown the feasibility and promise of templateindependent Web data extraction. However, existing approaches use decoupled strategies ? attempting to do data record ...