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» Computing with active dendrites
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SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
16 years 1 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh
ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
15 years 11 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
MIDDLEWARE
2007
Springer
15 years 10 months ago
Garbage Collecting the Grid: A Complete DGC for Activities
Abstract. Grids are becoming more and more dynamic, running parallel applications on large scale and heterogeneous resources. Explicitly stopping a whole distributed application is...
Denis Caromel, Guillaume Chazarain, Ludovic Henrio
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
15 years 10 months ago
Validation of evolutionary activity metrics for long-term evolutionary dynamics
As artificial life systems grow in number and sophistication, it is becoming increasingly important that the field agree on principled metrics for evaluating them. This report d...
Andrew Stout, Lee Spector
LCN
2003
IEEE
15 years 9 months ago
New Metrics for Dominating Set Based Energy Efficient Activity Scheduling in Ad Hoc Networks
In a multi-hop wireless network, each node is able to send a message to all of its neighbors that are located within its transmission radius. In a flooding task, a source sends th...
Jamil A. Shaikh, Julio Solano-González, Iva...