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192
Voted
PAKDD
2000
ACM
15 years 10 months ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
132
Voted
GEM
2008
15 years 8 months ago
2008
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
258
Voted
CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
172
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CORR
2002
Springer
15 years 6 months ago
2002
Springer
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
189
Voted
ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...