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ICANN
2009
Springer
15 years 2 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
SPAA
2006
ACM
15 years 3 months ago
Playing push vs pull: models and algorithms for disseminating dynamic data in networks
Consider a network in which a collection of source nodes maintain and periodically update data objects for a collection of sink nodes, each of which periodically accesses the data...
R. C. Chakinala, Abishek Kumarasubramanian, Kofi A...
ICS
2010
Tsinghua U.
15 years 7 months ago
Are Stable Instances Easy?
We introduce the notion of a stable instance for a discrete optimization problem, and argue that in many practical situations only sufficiently stable instances are of interest. T...
Yonatan Bilu, Nathan Linial
PPSN
2004
Springer
15 years 3 months ago
Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies
Adaptive multiagent algorithms based upon the behaviour of social insects are powerful decentralised systems capable of solving complex problems. The intelligence of such a system ...
Richard Price, Peter Tiño
IJON
2010
112views more  IJON 2010»
14 years 7 months ago
Efficient voting prediction for pairwise multilabel classification
The pairwise approach to multilabel classification reduces the problem to learning and aggregating preference predictions among the possible labels. A key problem is the need to qu...
Eneldo Loza Mencía, Sang-Hyeun Park, Johann...