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MCS
2008
Springer
15 years 6 months ago
Detecting multiple mean breaks at unknown points in official time series
In this paper, we propose a computationally effective approach to detect multiple structural breaks in the mean occurring at unknown dates. We present a non-parametric approach th...
Carmela Cappelli, Richard N. Penny, William S. Rea...
JPDC
2006
112views more  JPDC 2006»
15 years 6 months ago
Large scale multiple sequence alignment with simultaneous phylogeny inference
Multiple sequence alignment (MSA) and phylogenetic tree reconstruction are one of the most important problems in the computational biology. While both these problems are of great ...
Gilles Parmentier, Denis Trystram, Jaroslaw Zola
KBS
2006
79views more  KBS 2006»
15 years 6 months ago
Using multiple and negative target rules to make classifiers more understandable
One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based cla...
Jiuyong Li, Jason Jones
RAS
2006
170views more  RAS 2006»
15 years 6 months ago
Hierarchical attentive multiple models for execution and recognition of actions
According to the motor theories of perception, the motor systems of an observer are actively involved in the perception of actions when these are performed by a demonstrator. In t...
Yiannis Demiris, Bassam Khadhouri
IJCSS
2007
122views more  IJCSS 2007»
15 years 6 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...