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FLAIRS
2004
13 years 9 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
SIGCOMM
2010
ACM
13 years 7 months ago
Detecting the performance impact of upgrades in large operational networks
Networks continue to change to support new applications, improve reliability and performance and reduce the operational cost. The changes are made to the network in the form of up...
Ajay Anil Mahimkar, Han Hee Song, Zihui Ge, Aman S...
SISAP
2010
IEEE
135views Data Mining» more  SISAP 2010»
13 years 6 months ago
Improving the similarity search of tandem mass spectra using metric access methods
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ”in vitro” sample. The sequences are not...
Jiri Novák, Tomás Skopal, David Hoks...
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
14 years 9 months ago
Materialized Sample Views for Database Approximation
We consider the problem of creating a sample view of a database table. A sample view is an indexed, materialized view that permits efficient sampling from an arbitrary range query...
Shantanu Joshi, Chris Jermaine
ICIP
2009
IEEE
14 years 8 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...