IDA
2006
Springer
13 years 11 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
IDA
2006
Springer
13 years 11 months ago
2006
Springer
IDA
2006
Springer
13 years 11 months ago
2006
Springer
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
IDA
2006
Springer
13 years 11 months ago
2006
Springer
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
IDA
2006
Springer
13 years 11 months ago
2006
Springer
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
IDA
2006
Springer
13 years 11 months ago
2006
Springer
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
IDA
2006
Springer
13 years 11 months ago
2006
Springer
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
IDA
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents new textural features which are based on association rules. We give a texture representation, which is an appropriate formalism, that allows straightforward app...