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CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
14 years 4 months ago
Local Online Support Vector Regression for Learning Control
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
Younggeun Choi, Shin-Young Cheong, Nicolas Schweig...
VLDB
1994
ACM
119views Database» more  VLDB 1994»
14 years 1 months ago
Bulk Loading into an OODB: A Performance Study
Object-oriented database OODB users bring with them large quantities of legacy data megabytes and even gigabytes. In addition, scienti c OODB users continually generate new data. ...
Janet L. Wiener, Jeffrey F. Naughton
STOC
1995
ACM
194views Algorithms» more  STOC 1995»
14 years 1 months ago
Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
Genomes frequently evolve by reversals ␳(i, j) that transform a gene order ␲1 . . . ␲i␲iϩ1 . . . ␲jϪ1␲j . . . ␲n into ␲1 . . . ␲i␲jϪ1 . . . ␲iϩ1␲j . . ....
Sridhar Hannenhalli, Pavel A. Pevzner
TC
2008
13 years 9 months ago
Power and Area-Efficient Unified Computation of Vector and Elementary Functions for Handheld 3D Graphics Systems
A unified computation method of vector and elementary functions is proposed for handheld 3D graphics systems. It unifies vector operations like vector multiply, multiply-and-add, d...
Byeong-Gyu Nam, Hyejung Kim, Hoi-Jun Yoo
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 8 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish