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» Generating Data Analysis Programs from Statistical Models
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ICASSP
2011
IEEE
14 years 1 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
IASTEDSE
2004
14 years 11 months ago
Mapping UML statecharts to java code
The Unified Modeling Language (UML) statechart diagram is used for modeling the dynamic aspects of systems. The UML statechart diagrams include many concepts that are not present ...
Iftikhar Azim Niaz, Jiro Tanaka
BMCBI
2010
108views more  BMCBI 2010»
14 years 10 months ago
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...
SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
15 years 10 months ago
MauveDB: supporting model-based user views in database systems
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Amol Deshpande, Samuel Madden
BMCBI
2010
152views more  BMCBI 2010»
14 years 10 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...