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» Constructing Information Bases Using Associative Structures
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FPGA
2005
ACM
97views FPGA» more  FPGA 2005»
16 years 8 days ago
Techniques for synthesizing binaries to an advanced register/memory structure
Recent works demonstrate several benefits of synthesizing software binaries onto FPGA hardware, including incorporating hardware design into established software tool flows with m...
Greg Stitt, Zhi Guo, Walid A. Najjar, Frank Vahid
CORR
2007
Springer
100views Education» more  CORR 2007»
15 years 6 months ago
Identifying statistical dependence in genomic sequences via mutual information estimates
Questions of understanding and quantifying the representation and amount of information in organisms have become a central part of biological research, as they potentially hold th...
H. M. Aktulga, I. Kontoyiannis, L. A. Lyznik, Luka...
AAAI
2006
15 years 8 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
IMC
2007
ACM
15 years 8 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
BMCBI
2007
138views more  BMCBI 2007»
15 years 6 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...