1950 search results - page 9 / 390 » Informative sampling for large unbalanced data sets |
VISUALIZATION
2005
IEEE
14 years 1 months ago
2005
IEEE
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
EUSFLAT
2007
13 years 9 months ago
2007
One of the great challenges today is to index videos with high-level semantic concepts or features. The basis of our approach is to use a fuzzy decision trees (FDT) to construct t...
NIPS
2008
13 years 9 months ago
2008
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...