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» An Approach to Generation of Decision Rules
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TSP
2010
15 years 1 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed
INTERSPEECH
2010
15 years 1 months ago
Automatic derivation of phonological rules for mispronunciation detection in a computer-assisted pronunciation training system
Computer-Assisted Pronunciation Training System (CAPT) has become an important learning aid in second language (L2) learning. Our approach to CAPT is based on the use of phonologi...
Wai Kit Lo, Shuang Zhang, Helen M. Meng
BIBE
2009
IEEE
126views Bioinformatics» more  BIBE 2009»
16 years 1 months ago
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Sinan Kockara
CIKM
2010
Springer
15 years 4 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
SAB
2010
Springer
117views Optimization» more  SAB 2010»
15 years 4 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley