2183 search results - page 1 / 437 » On Combining Dissimilarity Representations |
80
Voted
MCS
2001
Springer
15 years 2 months ago
2001
Springer
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
MCS
2000
Springer
15 years 1 months ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
87
Voted
PRL
2002
14 years 9 months ago
2002
In this paper, a classification task on dissimilarity representations is considered. A traditional way to discriminate between objects represented by dissimilarities is the neares...
99
Voted
WSC
1997
14 years 11 months ago
1997
A methodology is presented which allows comparison between models under different modeling paradigms. Consider the following situation: Two models have been constructed to study d...