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» On the Expressiveness and Complexity of ATL
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ISSS
2002
IEEE
127views Hardware» more  ISSS 2002»
14 years 1 months ago
Dynamic Common Sub-Expression Elimination during Scheduling in High-Level Synthesis
We introduce a new approach, “Dynamic Common Sub-expression Elimination (CSE)”, that dynamically eliminates common sub- expressions based on new opportunities created during s...
Alexandru Nicolau, Nikil D. Dutt, Rajesh Gupta, Ni...
ICFP
1999
ACM
14 years 24 days ago
Relating Typability and Expressiveness in Finite-Rank Intersection Type Systems (Extended Abstract)
d Abstract) Assaf J. Kfoury∗ Boston University http://www.cs.bu.edu/˜kfoury Harry G. Mairson† Brandeis University http://www.cs.brandeis.edu/˜mairson Franklyn A. Turbak‡ We...
Assaf J. Kfoury, Harry G. Mairson, Franklyn A. Tur...
BMCBI
2008
166views more  BMCBI 2008»
13 years 8 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
BICOB
2009
Springer
13 years 6 months ago
A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
Doruk Bozdag, Jeffrey D. Parvin, Ümit V. &Cce...
BMCBI
2010
193views more  BMCBI 2010»
13 years 3 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt