3718 search results - page 29 / 744 » On learning with dissimilarity functions |
ESANN
2003
13 years 10 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
DIS
2010
Springer
13 years 7 months ago
2010
Springer
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...
WWW
2010
ACM
14 years 4 months ago
2010
ACM
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
INCDM
2010
Springer
13 years 7 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...