153 search results - page 9 / 31 » An empirical comparison of supervised learning algorithms |
116
Voted
DATAMINE
2006
15 years 1 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
131
click to vote
NIPS
2003
15 years 3 months ago
2003
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
110
click to vote
TKDE
2008
15 years 1 months ago
2008
This paper introduces a new method for supervised discretization based on interval distances by using a novel concept of neighborhood in the target's space. The proposed metho...
109
Voted
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We consider a supervised machine learning scenario where labels are provided by a heterogeneous set of teachers, some of which are mediocre, incompetent, or perhaps even malicious...
108
Voted
PRICAI
2000
Springer
15 years 5 months ago
2000
Springer
While the decision tree is an effective representation that has been used in many domains, a tree can often encode a concept inefficiently. This happens when the tree has to repres...