226 search results - page 25 / 46 » How to learn a graph from smooth signals |
127
click to vote
CLEIEJ
2007
15 years 1 months ago
2007
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
110
click to vote
PR
2007
15 years 1 months ago
2007
In this paper we address the problem of how to learn a structural prototype that can be used to represent the variations present in a set of trees. The prototype serves as a patte...
126
click to vote
ML
2000
ACM
15 years 1 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
114
click to vote
ICML
2007
IEEE
16 years 2 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...
111
click to vote
ECAL
2003
Springer
15 years 7 months ago
2003
Springer
This paper describes an investigation of two computer models of how vowel systems can be transferred from one generation to the next. Humans tend to reduce the articulation of the ...