Sentence examples for noisy patterns from inspiring English sources

First applied in banking, data mining uses a variety of algorithms to sift through storehouses of data in search of "noisy" patterns and relationships among the different silos of information.

Moreover, because the model is recurrent, it can reconstruct perfect outputs from incomplete and noisy patterns.

Learning is stable and robust, the trained network can recognize noisy patterns.

Shuffling or randomization tests on user features are commonly used to detect a signal of influence inside noisy patterns of correlation between pairs of users [20].

The newly developed algorithm is suitable for fully automated analysis and it works well with asymmetric diffraction patterns, off-zone axis patterns, patterns with streaks, and noisy patterns such as Fast Fourier transforms of high-resolution images.

Images show the result of dynamics applied to these noisy patterns using networks with all-to-all MPF parameters after L-BFGS training on (50text000) 64-cliques (({approx}2mathrm{e}31%) of all 64-cliques), Large deviation parameters ((x, y, z) = (0.0091, 0, 1)), or MPF Theory parameters ((x, y, z) = (0.0107, 0, 1)) from Eq. (7) in the main text.

The rings seen by Dr. Penrose and Dr. Gurzadyan are thin bands in which the noisy pattern of heat and cold in the early universe, as recorded by the Wilkinson satellite and other experiments, is slightly less splotchy than normal.

It is apparent that the remaining signal exhibits a noisy pattern.

The migration of cancer cells is simulated in Fig. 4b, resulting a noisy pattern which is similar to Fig. 4a.

Also, to enable the HNN to solve a binary pattern recognition problem, the autocorrelation matrix of the set of patterns is used as the weights between the HNN neurons, while the noisy pattern to be recognized is used as the input to the HNN.

Likewise, same perturbation due to cancer cell migration as shown in Fig. 4d results in a noisy pattern similar to Fig. 4c. Figure 5 demonstrate the effect of migration on spatio-temporal dynamics of cancer in a critical state near the vicinity of unstable equilibrium (p≈0.5).