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NIPS
2003
15 years 1 months ago
Optimal Manifold Representation of Data: An Information Theoretic Approach
We introduce an information theoretic method for nonparametric, nonlinear dimensionality reduction, based on the infinite cluster limit of rate distortion theory. By constraining...
Denis V. Chigirev, William Bialek
BMCBI
2010
133views more  BMCBI 2010»
14 years 12 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
ICCD
2003
IEEE
127views Hardware» more  ICCD 2003»
15 years 8 months ago
Structural Detection of Symmetries in Boolean Functions
Functional symmetries provide significant benefits for multiple tasks in synthesis and verification. Many applications require the manual specification of symmetries using spe...
Guoqiang Wang, Andreas Kuehlmann, Alberto L. Sangi...
ASPDAC
2006
ACM
119views Hardware» more  ASPDAC 2006»
15 years 5 months ago
Using speculative computation and parallelizing techniques to improve scheduling of control based designs
Recent research results have seen the application of parallelizing techniques to high-level synthesis. In particular, the effect of speculative code transformations on mixed contr...
Roberto Cordone, Fabrizio Ferrandi, Marco D. Santa...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada