Chapter 7: Random Variables
... • The variance of a discrete random variable is an average of the squared deviation (X-µx)2 of the variable X from its mean µx.. As with the mean, we use the weighted average in which each outcome is weighted by its probability in order to take into account the outcomes that are not equally likely. ...
... • The variance of a discrete random variable is an average of the squared deviation (X-µx)2 of the variable X from its mean µx.. As with the mean, we use the weighted average in which each outcome is weighted by its probability in order to take into account the outcomes that are not equally likely. ...
Low Rank Language Models for Small Training Sets
... rank. This letter introduces a new approach to language modeling that more directly optimizes the low rank objective, using a factored low-rank tensor representation of the joint probability distribution. Using a novel approach to parameter-tying, the LRLM is better suited to modeling domains where ...
... rank. This letter introduces a new approach to language modeling that more directly optimizes the low rank objective, using a factored low-rank tensor representation of the joint probability distribution. Using a novel approach to parameter-tying, the LRLM is better suited to modeling domains where ...
Results - SIITME
... We calculated the similarity of the documents to a query test (variable), by applying the Jaccard coefficient and the Euclidean distance. In the case of the Jaccard coefficient (dJ), the similarity is maximum for dJ=1, whereas for the Euclidean distance (dE) the similarity is maximum when the distan ...
... We calculated the similarity of the documents to a query test (variable), by applying the Jaccard coefficient and the Euclidean distance. In the case of the Jaccard coefficient (dJ), the similarity is maximum for dJ=1, whereas for the Euclidean distance (dE) the similarity is maximum when the distan ...
p p - Columbia Statistics
... Review: Sampling distribution model for proportions Population - Entire group of items/individuals we want information about. Sample - The part of the population we actually examine in order to gather information. A parameter is a number that describes the population. A statistic is a number that de ...
... Review: Sampling distribution model for proportions Population - Entire group of items/individuals we want information about. Sample - The part of the population we actually examine in order to gather information. A parameter is a number that describes the population. A statistic is a number that de ...
The Normal Distribution
... With lots of dice Binomial Dist Normal Dist Normal Dist fully defined just by mean and SD ...
... With lots of dice Binomial Dist Normal Dist Normal Dist fully defined just by mean and SD ...
Exponential distribution
... this distribution, it is well-suited to model the constant hazard rate portion of the bathtub curve used in reliability theory. It is also very convenient because it is so easy to add failure rates in a reliability model. The exponential distribution is however not appropriate to model the overall l ...
... this distribution, it is well-suited to model the constant hazard rate portion of the bathtub curve used in reliability theory. It is also very convenient because it is so easy to add failure rates in a reliability model. The exponential distribution is however not appropriate to model the overall l ...
