### Table 1. Algorithms for self-organizing modeling

"... In PAGE 2: ... nonparametric models Known nonparametric model selection methods include: Analog Complexing (AC) which selects nonparametric prediction models from a given data set representing one or more patterns of a trajectory of past behavior which are analogous to a chosen reference pattern and Objective Cluster Analysis (OCA). Table1 shows some data mining functions and more appropriate self-organizing modeling algorithms for addressing these functions. Table 1.... ..."

### Table I:. Algorithms for self-organizing modeling

### Table 2: Mean NNLs and cosines (in parentheses) on testing data for models with self-organization.

"... In PAGE 4: ...785) which makes it worse than most models using self-organization (cf. Table2 ). We acknowledge that in principle, the SRN may be able to achieve better perfor- mance by varying different parameters: e.... ..."

### Table 1. Algorithms for self-organizing modeling (see [19] for such classification) Data Mining functions Algorithm

"... In PAGE 3: ... In a wider sense, the spectrum of self-organizing modeling contains regression-based methods, rule-based methods, symbolic modeling and nonparametric model selection methods. Table1 shows some data mining functions and more appropriate SOM algorithms for addressing these functions (FRI: Fuzzy rule induction using GMDH, AC: Analog Complexing). Table 1.... ..."

### TABLE I DIATOM IDENTIFICATION A) REPORTED CONFUSION MATRIX AND B) SELF-ORGANIZING MODEL CONFUSION MATRIX

2005

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### Table 1. Diatom recognition a) reported confusion matrix and b) self-organizing model confusion matrix (Cymbella hybrida, Cymbella subequalis, Gomphonema sp.1, Parli- bellus delognei, and Stauroneis smithii)

2002

"... In PAGE 9: ... A subset of ve diatom classes, including the two species with the highest error rates reported in [11], with ve elements per class, are chosen. Part of the confusion matrix reported in [11] is presented in Table1 a. The results obtained with the self-organizing edit distance proposed in this paper are given in Table 1b.... In PAGE 9: ... Part of the confusion matrix reported in [11] is presented in Table 1a. The results obtained with the self-organizing edit distance proposed in this paper are given in Table1 b. The learning procedure achieves to correct six out of eight misclassi cations.... ..."

Cited by 2

### TABLE 3. Parameters of the self-organization algorithm.

in Efficient publish/subscribe through a self-organizing broker overlay and its application to SIENA

Cited by 1

### Table 1: Categories of models of visual cortical maps, and their abbreviations as used in this article. Two versions of the self-organizing map model were investi- gated: SOM-h (high-dimensional weight vectors) and SOM-l (low-dimensional feature vectors).

1995

"... In PAGE 8: ... In- creasingly detailed comparisons between model and experimental data will be included along with each point. To ease comparisons, we group models into categories based on similarities in goals or implementation, Table1 . Structural and spectral models attempt to characterize map patterns using schematic drawings or concise equations.... In PAGE 26: ... The results of our comparison between model predictions and experimental data obtained from the upper layers of macaque striate cortex are summarized in table 2. References to articles on each model are given in Table1 . Many of the models are also brie y described in the appendix.... ..."

Cited by 64

### Table 1. Packet description for the Kohonen Self-Organizing Map implementation.

2002

"... In PAGE 3: ... After having read the sensor values, each unit compares those values with its internal values, stored in the randomly initialised prototype vectors and calculates the Euclidean distance between both vectors. A packet is then created and broadcast across the network with the elements as they are listed in Table1 . The timestamp is provided to eliminate outdated packages.... ..."

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### Table 1. Comparison of self-organization results1 for IRIS data

2000

Cited by 4