5153 search results - page 242 / 1031 » Introduction to Randomized Algorithms |
132
Voted
AAAI
2008
15 years 5 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...
131
Voted
STOC
2006
ACM
16 years 3 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...
128
Voted
KBSE
2007
IEEE
15 years 9 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...
162
Voted
ICDE
2012
IEEE
13 years 5 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...
131
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...