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ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
15 years 10 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
ATAL
2006
Springer
15 years 8 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke
CORR
2010
Springer
99views Education» more  CORR 2010»
15 years 6 months ago
Locating phase transitions in computationally hard problems
We discuss how phase-transitions may be detected in computationally hard problems in the context of anytime algorithms. Treating the computational time, value and utility functions...
B. Ashok, T. K. Patra
CORR
2006
Springer
159views Education» more  CORR 2006»
15 years 6 months ago
Structural Alignments of pseudo-knotted RNA-molecules in polynomial time
An RNA molecule is structured on several layers. The primary and most obvious structure is its sequence of bases, i.e. a word over the alphabet {A, C, G, U}. The higher structure i...
Michael Brinkmeier
EOR
2007
77views more  EOR 2007»
15 years 6 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff