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Searched refs:variance (Results 1 – 11 of 11) sorted by relevance

/packages/modules/Wifi/service/java/com/android/server/wifi/
DScoreCardBasedScorer.java125 double variance = mean_square - mean * mean; in estimatedCutoff() local
126 double sigma = Math.sqrt(variance); in estimatedCutoff()
/packages/modules/Wifi/service/tests/wifitests/src/com/android/server/wifi/util/
DKalmanFilterTest.java128 double variance = (sumSquares - sum * sum) / (n * n); in testPhaseLockedLoop() local
130 assertTrue(variance < 1.5); in testPhaseLockedLoop()
/packages/modules/Uwb/generic_ranging/proto/src/
Dmulti_sensor_finder_configuration.proto111 // Switches the measurement model based on the variance heuristic.
240 // Configuration for the variance based switching model.
247 // variance is above the variance_threshold.
250 // The size of the window over which the variance used by this model is
/packages/modules/NeuralNetworks/common/
DQuantUtils.cpp26 int64_t variance = sum_sq * temp - static_cast<int64_t>(mean) * static_cast<int64_t>(mean); in ApplyLayerNorm() local
27 int32_t variance2 = static_cast<int32_t>(variance / kOverflowGuard); in ApplyLayerNorm()
/packages/modules/Uwb/service/java/com/android/server/uwb/correction/primers/
DBackAzimuthPrimer.java400 float variance = stdDev * stdDev; in bell() local
401 return (float) exp(-(x * x / (2 * variance))); in bell()
/packages/modules/Wifi/service/proto/src/
Dscorecard.proto99 optional double historical_variance = 7; // Long-term variance
/packages/modules/NeuralNetworks/tools/api/
Dtypes.spec4523 * Where the mean and variance are computed across the spatial dimensions:
4552 * * 3: A scalar, specifying epsilon, the small value added to variance to
/packages/inputmethods/LatinIME/dictionaries/
Dfr_wordlist.combined.gz
Den_GB_wordlist.combined.gz
Den_US_wordlist.combined.gz
Den_wordlist.combined.gz