2593 search results - page 23 / 519 » Learning Visual Attributes |
ICDM
2003
IEEE
14 years 26 days ago
2003
IEEE
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
KDD
1998
ACM
13 years 11 months ago
1998
ACM
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
AUSAI
2006
Springer
13 years 11 months ago
2006
Springer
Attribute subsetting is a meta-classification technique, based on learning multiple base-level classifiers on projections of the training data. In prior work with nearest-neighbour...
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...