1662 search results - page 2 / 333 » Generation of Attributes for Learning Algorithms |
NIPS
2007
13 years 6 months ago
2007
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...
DIS
2004
Springer
13 years 8 months ago
2004
Springer
Abstract. Attribute value taxonomies (AVTs) have been used to perform AVT-guided decision tree learning on partially or totally missing data. In many cases, user-supplied AVTs are ...
AUSAI
2006
Springer
13 years 8 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...
STOC
2005
ACM
14 years 5 months ago
2005
ACM
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...