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» Maximal Vector Computation in Large Data Sets
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ANNPR
2006
Springer
14 years 25 days ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
ICCS
2001
Springer
14 years 1 months ago
Optimizing Sparse Matrix Computations for Register Reuse in SPARSITY
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
Eun-Jin Im, Katherine A. Yelick
COLING
2010
13 years 4 months ago
A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
Smruthi Mukund, Rohini K. Srihari
TSP
2008
166views more  TSP 2008»
13 years 9 months ago
A Unifying Discussion of Correlation Analysis for Complex Random Vectors
The assessment of multivariate association between two complex random vectors is considered. A number of correlation coefficients based on three popular correlation analysis techni...
Peter J. Schreier
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
12 years 4 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...