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» Using Bayesian networks to analyze expression data
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ISESE
2006
IEEE
15 years 9 months ago
Identifying domain-specific defect classes using inspections and change history
We present an iterative, reading-based methodology for analyzing defects in source code when change history is available. Our bottom-up approach can be applied to build knowledge ...
Taiga Nakamura, Lorin Hochstein, Victor R. Basili
ICDM
2006
IEEE
102views Data Mining» more  ICDM 2006»
15 years 9 months ago
Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks
Interpersonal interaction plays an important role in organizational dynamics, and understanding these interaction networks is a key issue for any organization, since these can be ...
Nishith Pathak, Sandeep Mane, Jaideep Srivastava
ATAL
2006
Springer
15 years 6 months ago
Scalable and reliable data delivery in mobile ad hoc sensor networks
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
Bin Yu, Paul Scerri, Katia P. Sycara, Yang Xu, Mic...
BMCBI
2008
98views more  BMCBI 2008»
15 years 3 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
CORR
2011
Springer
169views Education» more  CORR 2011»
14 years 10 months ago
Streaming Tree Transducers
We introduce streaming tree transducers as an analyzable and expressive model for transforming hierarchically structured data in a single pass. Given a linear encoding of the inpu...
Rajeev Alur, Loris D'Antoni