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» Using Bayesian networks to analyze expression data
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GLOBECOM
2006
IEEE
15 years 8 months ago
Bayesian Data Fusion for Asynchronous DS-CDMA Sensor Networks in Rayleigh Fading
Abstract— In this paper, we propose asynchronous non-orthogonal communication between distributed sensors and a data fusion center via asynchronous direct-sequence code-division ...
Justin S. Dyer, Balasubramaniam Natarajan, Sudharm...
PERCOM
2007
ACM
16 years 1 months ago
Expressing Sensor Network Interaction Patterns Using Data-Driven Macroprogramming
Wireless Sensor Networks (WSNs) are increasingly being employed as a key building block of pervasive computing infrastructures, owing to their ability to be embedded within the re...
Animesh Pathak, Luca Mottola, Amol Bakshi, Viktor ...
ICML
2004
IEEE
16 years 2 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
124
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BMCBI
2006
94views more  BMCBI 2006»
15 years 2 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
BMCBI
2007
207views more  BMCBI 2007»
15 years 2 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...