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» Classification of microarray data using gene networks
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ASC
2006
15 years 4 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
IDA
1998
Springer
15 years 2 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
IMC
2005
ACM
15 years 8 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang
ICMLA
2009
15 years 29 days ago
Learning Geographic Regions using Location Based Services in Next Generation Networks
Abstract--In this paper we apply classification to learn geographic regions using Location Based Services (LBS) in Next Generation Networks (NGN). We assume that the information in...
Yuheng He, Attila Bilgic
RECOMB
2004
Springer
16 years 3 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven