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» On the Complexity of Function Learning
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IHI
2012
370views Healthcare» more  IHI 2012»
14 years 2 hour ago
FUSE: a system for data-driven multi-level functional summarization of protein interaction networks
Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, g...
Boon-Siew Seah, Sourav S. Bhowmick, Charles Forbes...
EMNLP
2008
15 years 5 months ago
Regular Expression Learning for Information Extraction
Regular expressions have served as the dominant workhorse of practical information extraction for several years. However, there has been little work on reducing the manual effort ...
Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghava...
ILP
2007
Springer
15 years 10 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
GLVLSI
2007
IEEE
189views VLSI» more  GLVLSI 2007»
15 years 10 months ago
Hardware-accelerated path-delay fault grading of functional test programs for processor-based systems
The path-delay fault simulation of functional tests on complex circuits such as current processor-based systems is a daunting task. The amount of computing power and memory needed...
Paolo Bernardi, Michelangelo Grosso, Matteo Sonza ...
CGI
2003
IEEE
15 years 9 months ago
Interactive Transfer Function Modification For Volume Rendering Using Compressed Sample Runs
This paper describes a software-based method for interactive transfer function modification. Our approach exploits the fact that, in general, a user will rarely want to modify the...
Vivek Srivastava, Uday Chebrolu, Klaus Mueller