307 search results - page 52 / 62 » Significance of Classification Techniques in Prediction of L... |
177
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ISCA
1999
IEEE
15 years 10 months ago
1999
IEEE
Recent research advocates using general message predictors to learn and predict the coherence activity in distributed shared memory (DSM). By accurately predicting a message and t...
159
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AIR
2004
15 years 5 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
169
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TEC
2008
15 years 5 months ago
2008
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
167
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BMCBI
2007
15 years 6 months ago
2007
Background: Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biom...
163
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KDD
2002
ACM
16 years 6 months ago
2002
ACM
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...