199 search results - page 18 / 40 » Accuracy of distance metric learning algorithms |
149
Voted
DAGM
2011
Springer
14 years 8 days ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
112
click to vote
INFOCOM
1999
IEEE
15 years 4 months ago
1999
IEEE
There is an increasing need for Internet hosts to be able to quickly and efficiently learn the distance, in terms of metrics such as latency or bandwidth, between Internet hosts. ...
96
Voted
JMLR
2006
15 years 13 days ago
2006
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
109
Voted
PR
2006
15 years 12 days ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
113
Voted
CIKM
2009
Springer
15 years 7 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....