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» On Learning Asymmetric Dissimilarity Measures
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MCS
2001
Springer
15 years 2 months ago
On Combining Dissimilarity Representations
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...
Elzbieta Pekalska, Robert P. W. Duin
JCIT
2008
112views more  JCIT 2008»
14 years 9 months ago
On the design of metric relations
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
Lluís Belanche, Jorge Orozco
KDD
2008
ACM
193views Data Mining» more  KDD 2008»
15 years 10 months ago
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shi...
JMLR
2010
230views more  JMLR 2010»
14 years 4 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
ECTEL
2008
Springer
14 years 11 months ago
Knowing What the Peer Knows: The Differential Effect of Knowledge Awareness on Collaborative Learning Performance of Asymmetric
In an empirical study, we provided (or not) pairs of students working in a remote collaborative learning situation with a knowledge awareness tool that provided learner A with lear...
Mirweis Sangin, Gaëlle Molinari, Marc-Antoine...