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» Using Gaussian Processes to Optimize Expensive Functions
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VLSISP
2011
358views Database» more  VLSISP 2011»
13 years 5 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
13 years 9 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 3 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
BMCBI
2008
136views more  BMCBI 2008»
13 years 10 months ago
An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptim
Background: RNAmute is an interactive Java application which, given an RNA sequence, calculates the secondary structure of all single point mutations and organizes them into categ...
Alexander Churkin, Danny Barash
CCS
2009
ACM
14 years 5 months ago
Large-scale malware indexing using function-call graphs
A major challenge of the anti-virus (AV) industry is how to effectively process the huge influx of malware samples they receive every day. One possible solution to this problem i...
Xin Hu, Tzi-cker Chiueh, Kang G. Shin