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IDA
2006
Springer
13 years 9 months ago
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
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 ...
Allan Tucker, Peter A. C. 't Hoen, Veronica Vincio...
KES
2006
Springer
13 years 8 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
ML
2006
ACM
105views Machine Learning» more  ML 2006»
13 years 8 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
ML
2006
ACM
13 years 8 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
NCA
2006
IEEE
13 years 8 months ago
Neural network modelling of word production in Finnish: coding semantic and non-semantic features
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
Antti Järvelin, Martti Juhola, Matti Laine