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1,415
Coordination of Groups of Mobile Autonomous Agents Using Nearest Neighbor Rules
, 2002
"... In a recent Physical Review Letters paper, Vicsek et. al. propose a simple but compelling discrete-time model of n autonomous agents fi.e., points or particlesg all moving in the plane with the same speed but with dierent headings. Each agent's heading is updated using a local rule based on ..."
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Cited by 1290 (62 self)
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on the average of its own heading plus the headings of its \neighbors." In their paper, Vicsek et. al. provide simulation results which demonstrate that the nearest neighbor rule they are studying can cause all agents to eventually move in the same direction despite the absence of centralized
Ensemble with Neighbor Rules Voting
"... Abstract—Ensembles of classifiers have been employed to improve accuracy over single classifier. Various methods sequentially bootstrap data set and invoke a base classifier on these different bootstraps. In this paper, we propose an idea based on the use of “similar rules ” or “neighbor rules ” in ..."
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Abstract—Ensembles of classifiers have been employed to improve accuracy over single classifier. Various methods sequentially bootstrap data set and invoke a base classifier on these different bootstraps. In this paper, we propose an idea based on the use of “similar rules ” or “neighbor rules
Alhazen and the Nearest Neighbor Rule
"... We show that a clear formulation of the nearest neighbor decision rule for pattern classification can be found, along with other remarkably modern ideas, in an influential medieval treatise on visual perception authored by Alhazen, one of the major figures in the so-called “Islamic golden age. ” To ..."
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We show that a clear formulation of the nearest neighbor decision rule for pattern classification can be found, along with other remarkably modern ideas, in an influential medieval treatise on visual perception authored by Alhazen, one of the major figures in the so-called “Islamic golden age
Estimation by the Nearest Neighbor Rule
"... simplifies the computations, up to Ic = 18. These are compared with values obtained from the approximation (36) in the following table: ..."
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simplifies the computations, up to Ic = 18. These are compared with values obtained from the approximation (36) in the following table:
Fast Condensed Nearest Neighbor Rule
"... We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties. Indeed, it is order independent and has subquadratic worst case time complexity, while it requires few iterations to con ..."
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Cited by 18 (2 self)
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We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties. Indeed, it is order independent and has subquadratic worst case time complexity, while it requires few iterations
Asymptotic properties of nearest neighbor rules using edited data
- Cybern ., vol . SMC2, pp
, 1972
"... Abstract-The convergence properties of a nearest neighbor rule that uses an editing procedure to reduce the number of preclassified samples and to improve the performance of the rule are developed. Editing of the preclassified samples using the three-nearest neighbor rule followed by classification ..."
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Cited by 1 (0 self)
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Abstract-The convergence properties of a nearest neighbor rule that uses an editing procedure to reduce the number of preclassified samples and to improve the performance of the rule are developed. Editing of the preclassified samples using the three-nearest neighbor rule followed by classification
An Approach to Switching Control Beyond Nearest Neighbor Rules
"... Abstract — Current approaches to distributed control involving many robots generally restrict interactions to pairs of robots within a threshold distance. While this allows for provable stability, there are performance costs associated with the lack of long-distance information. We introduce the acu ..."
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the acute angle switching algorithm, which allows a small number of long-range interactions in addition to interactions with nearby neighbors. We show that the acute angle switching algorithm provides an improvement in performance while retaining the quality of provable stability. I.
Siuiulation Studies on Some Nearest Neighbor Rules for
, 1918
"... F Jó~1II ~ L:~ ~ _... f ”. f l c~ ..."
A simple locally adaptive nearest neighbor rule with application to pollution forecasting
- Intl. Journal of Pattern Recognition and Artificial Intelligence
"... In this paper, we propose a thorough investigation of a nearest neighbor rule which we call the “Symmetric Nearest Neighbor (sNN) rule”. Basically, it symmetrises the classical nearest neighbor relationship from which are computed the points voting for some instances. Experiments on 29 datasets, mos ..."
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Cited by 12 (0 self)
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In this paper, we propose a thorough investigation of a nearest neighbor rule which we call the “Symmetric Nearest Neighbor (sNN) rule”. Basically, it symmetrises the classical nearest neighbor relationship from which are computed the points voting for some instances. Experiments on 29 datasets
Results 1 - 10
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