Search results for "Variance" - Rhea

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• Anand Gautam 10.4 ECE302Fall2008sanghavi
  \\how do you find the variance? -carlos leon-
  195 B (27 words) - 17:51, 9 December 2008
• 10.1 (a) Christopher Wacnik ECE302Fall2008sanghavi
  ...ormula, and from THAT, the variance should also be the same (also from the variance formula).
  560 B (111 words) - 11:50, 9 December 2008
• 10.2 (a&b) Beau Morrison ECE302Fall2008sanghavi
  a)Does any one know what to do to the variance when multiplied by a number? I know that when added together:
  408 B (78 words) - 14:12, 9 December 2008
• Main Page ECE641Fall2008bouman
  *Please correct the posterior variance on page 19 (middle of the page): Assignment for "a" after the line "More sp
  3 KB (543 words) - 12:55, 12 December 2008
• HW2-D Ben Horst ECE301Fall2008mboutin
  Given this system and the definition of time variance
  2 KB (379 words) - 07:00, 10 September 2008
• HW2-E Ronny Wijaya ECE301Fall2008mboutin
  = Time Invariance? or Time Variance? =
  1 KB (185 words) - 19:56, 10 September 2008
• HW2-E Tyler Houlihan ECE301Fall2008mboutin
  == Linearity and Time Variance ==
  753 B (131 words) - 16:23, 11 September 2008
• HW2-E Joseph Mazzei ECE301Fall2008mboutin
  == Time Variance ==
  331 B (57 words) - 13:02, 12 September 2008
• HW2.D Monil Goklani ECE301Fall2008mboutin
  == Time Variance check ==
  616 B (112 words) - 11:11, 12 September 2008
• HW2.D Tyler Johnson ECE301Fall2008mboutin
  An example of time variance is turning on your T.V. to a channel. If you turn it on at 10:01 AM, the f
  549 B (107 words) - 14:25, 12 September 2008
• ECE662:Glossary Old Kiwi
  ...y Fisher's criterion, which applies exactly to Gaussian classes with equal variance and approximately to other models. Variants like Flexible discriminant anal ...zes the distance between the means of the two classes while minimizing the variance within each class. See Lecture 10 for detailed explanation.
  31 KB (4,832 words) - 18:13, 22 October 2010
• ECE662:Homework 1 Old Kiwi
  ...rix with random entries, chosen from a normal distribution with mean zero, variance one and standard deviation one. ...d we assume for the parameters of the distribution of mean? What about the variance?
  10 KB (1,594 words) - 11:41, 24 March 2008
• Lecture 7 - MLE and BPE Old Kiwi
  The univariate case. The variance is assumed to be known. ...be interpreted as: in making prediction for a single new observation, the variance of the estimate will have two components:
  10 KB (1,488 words) - 10:16, 20 May 2013
• Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate Old Kiwi
  This function has zero mean, H variance, an n-dimensional density, and is not compactly supported.
  10 KB (1,607 words) - 08:38, 17 January 2013
• Bayes Classification: Experiments and Notes Old Kiwi
  ...in and test the system. We generated N = 10⁵ samples. Also, the variance for each feature was the same and the mean of each class feature changed de
  4 KB (735 words) - 22:49, 8 March 2008
• Feature Extraction Old Kiwi
  ...zes the distance between the means of the two classes while minimizing the variance within each class.
  3 KB (430 words) - 10:40, 24 April 2008
• Mahalanobis Distance Old Kiwi
  ...flect the correlation between the axis. The diagonal entries represent the variance along that direction(dimension) itself while the non diagonal entries repre
  3 KB (528 words) - 08:48, 10 April 2008
• Parametric Estimators Old Kiwi
  The CRLB is the minimum variance achievable by any unbiased estimator for a parameter. ...mator that is unbiased and achieves the CRLB is referred to as the Minimum Variance Unbiased Estimator(MVUE).
  6 KB (995 words) - 10:39, 20 May 2013
• Publications Old Kiwi
  ...s which result tend to be fficient in the sense of having low within class variance. Applications are suggested for the problems of non-linear prediction, effi
  39 KB (5,715 words) - 10:52, 25 April 2008
• Comparison of MLE and Bayesian Parameter Estimation Old Kiwi
  4) Estimate of variance and other parameters is often biased ...certain specially-designed priors, leads naturally to unbiased estimate of variance
  2 KB (287 words) - 10:39, 20 May 2013