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» Reducing the Complexity of Reductions
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TSMC
2008
84views more  TSMC 2008»
15 years 6 months ago
Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots
We propose a technique to speedup the learning of the inverse kinematics of a robot manipulator by decomposing it into two or more virtual robot arms. Unlike previous decomposition...
Vicente Ruiz de Angulo, Carme Torras
KBS
2002
141views more  KBS 2002»
15 years 5 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
BC
2010
57views more  BC 2010»
15 years 3 months ago
Mappings between a macroscopic neural-mass model and a reduced conductance-based model
We present two alternative mappings between a macroscopic neural mass model and a reduction of a conductance-based model. These provide possible explanations of the relationship b...
Serafim Rodrigues, Anton V. Chizhov, Frank Marten,...
NETWORKS
2011
14 years 9 months ago
On terminal delta-wye reducibility of planar graphs
A graph is terminal ∆ − Y -reducible if, it can be reduced to a distinguished set of terminal vertices by a sequence of series-parallel reductions and ∆−Y -transformations...
Isidoro Gitler, Feliu Sagols
140
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COCO
1991
Springer
93views Algorithms» more  COCO 1991»
15 years 9 months ago
Relating Equivalence and Reducibility to Sparse Sets
For various polynomial-time reducibilities r, this paper asks whether being r-reducible to a sparse set is a broader notion than being r-equivalent to a sparse set. Although distin...
Eric Allender, Lane A. Hemachandra, Mitsunori Ogiw...