5115 search results - page 234 / 1023 » On Randomized Lanczos Algorithms |
184
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DMKD
2004
ACM
16 years 14 days ago
2004
ACM
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
205
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AAAI
2008
15 years 9 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
182
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STOC
2006
ACM
16 years 7 months ago
2006
ACM
: We derandomize results of H?astad (1999) and Feige and Kilian (1998) and show that for all > 0, approximating MAX CLIQUE and CHROMATIC NUMBER to within n1are NP-hard. We furt...
187
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KBSE
2007
IEEE
16 years 1 months ago
2007
IEEE
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
239
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ICDE
2012
IEEE
13 years 9 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...