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Table 2 Cluster accuracy and stability on the completely synthetic data with four repeated measurements at low noise level

in Software Clustering gene-expression data with repeated measurements
by Ka Yee Yeung, Mario Medvedovic, Open Access, Roger E Bumgarner 2003
"... In PAGE 6: ... The external knowledge is not used in computing cluster stability. Completely synthetic data at low noise level Table2 a,b shows selected results on cluster accuracy and cluster stability on the completely synthetic datasets with four simulated repeated measurements. Table 2a,b show results from average linkage, complete linkage and centroid linkage hierarchical algorithms, k-means, MCLUST-HC (a hierarchical model-based clustering algorithm from MCLUST) and IMM.... In PAGE 6: ... Completely synthetic data at low noise level Table 2a,b shows selected results on cluster accuracy and cluster stability on the completely synthetic datasets with four simulated repeated measurements. Table2 a,b show results from average linkage, complete linkage and centroid linkage hierarchical algorithms, k-means, MCLUST-HC (a hierarchical model-based clustering algorithm from MCLUST) and IMM. Both single linkage and DIANA produce very low-quality and unstable clusters and their adjusted Rand indices are not shown.... ..."

Table 7. Simulation results for N=25 and low-noise block target function, when the sample size is very small model selection tasks are more difficult, in this case NIC shows a very high variance on the observed efficiency

in Empirical Performance Assessment of Nonlinear Model Selection Techniques
by Guerrero Vázquez Elisa, Pizarro Junquera Joaquín, Yáñez Escolano Andrés, Galindo Riaño Pedro L, Grupo Sistemas Inteligentes De Computación, Dpto Lenguajes Y Sistemas

Table 8. Simulation results for N=50 and low-noise block target function. All criteria show a similar averaged observed efficiency, but 10NCV and 10CV tend to more underfitted models than NIC and GPE

in Empirical Performance Assessment of Nonlinear Model Selection Techniques
by Guerrero Vázquez Elisa, Pizarro Junquera Joaquín, Yáñez Escolano Andrés, Galindo Riaño Pedro L, Grupo Sistemas Inteligentes De Computación, Dpto Lenguajes Y Sistemas

Table 9. Simulation results for N=100 and low-noise block target function. GPE and NIC show a higher averaged observed efficiency, and favor models from 11 to 16 hidden units, while 10CV and 10NCV models ranging between 9 and 14 hidden units

in Empirical Performance Assessment of Nonlinear Model Selection Techniques
by Guerrero Vázquez Elisa, Pizarro Junquera Joaquín, Yáñez Escolano Andrés, Galindo Riaño Pedro L, Grupo Sistemas Inteligentes De Computación, Dpto Lenguajes Y Sistemas

Table 9. Data-rate capability of designed opto-electronic receiver for the baseline device of this design and for the improved APD.a

in Design of an Opto-Electronic Receiver for Deep-Space Optical Communications
by G. G. Ortiz, J. V. Sandusky, A. Biswas 2000
"... In PAGE 11: ... 5). Table9 summarizes the data-rate capabilities of the opto-electronic receiver implemented with the baseline detector and the proposed improved detectors, and a low-noise high-impedance pre-amplifler for the three choices of ground telescope diameters being considered.... ..."
Cited by 1

Table 1: Recognition results (in percent). First row, a low noise assumption; second row, a high noise assumption; third row (for selected objects) a random strategy.

in An Information Theoretic Approach to Optimal Sensor Data Selection for State Estimation
by J. Denzler, C. Brown
"... In PAGE 27: ...ecision after the last view returns the right class, i.e. object number 6. Table1 gives the recognition results for the nine objects. In the first row, the noise in the camera movement and focal length adjustment has been assumed to be low, in the second row it has been assumed to be high.... In PAGE 28: ... First row, low noise assumption; second row, high noise assumption; third row, (for selected objects) a random strategy. gaze control (third row in Table1 ) for objects 1, 2 and 6 one can conclude the following. For the easy recognizable object 1, a random strategy results in the same recognition rate, although the mean number of views is increased from 1 to BEBMBH views (compare Table 2).... ..."
Cited by 1

TABLE 2. Specifications for the Low-Noise-Amplifier.

in An Integrated GSM/DECT Receiver: Design Specifications
by Jacques C. Rudell, J. Weldon, J.J. Ou, L. Lin, P. Gray, Jacques C. Rudell, Jeffrey A. Weldon, Jia-jiunn Ou, Li Lin, Paul Gray 1997
Cited by 4

TABLE II Performance of the Low Noise Amplifier.

in A 1.9 GHz Low Noise Amplifier
by Jérôme Le Ny, Bhavana Thudi, Jonathan Mckenna

Table 16.6.1: Overview of the reference design and the two low-noise designs

in 16.6 Methodology and Experimental Verification for Substrate Noise Reduction in CMOS Mixed-Signal ICs with Synchronous Digital Circuits
by Mustafa Badaroglu, Marc Van Heijningen, Vincent Gravot, John Compiet, Stéphane Donnay, Marc Engels, Georges Gielen, Hugo De Man

TABLE I PERFORMANCE OF PROPOSED LOW-NOISE AMPLIFIER AT 2.4GHZ.

in A New 2.4GHz CMOS Low-Noise Amplifier with Automatic Gain Control
by unknown authors
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