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PPOPP
2009
ACM
16 years 7 months ago
Serialization sets: a dynamic dependence-based parallel execution model
This paper proposes a new parallel execution model where programmers augment a sequential program with pieces of code called serializers that dynamically map computational operati...
Matthew D. Allen, Srinath Sridharan, Gurindar S. S...
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
16 years 7 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
16 years 7 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 7 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 7 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney