Leverage
In Linear Regression (Simple or Multiple), any prediction yi* can be represented as a linear combination of the observations yj :
yi* = Σj hij yj ...
Leverage Values. In regression, this term refers to the diagonal elements of the hat matrix (X(X'X)-1X'). A given diagonal element (h(ii)) represents the distance between X values for the ith observation and the means of all X values.
Diffusion maps leverages the relationship between heat diffusion and a random walk (Markov Chain); ...
Recent work has leveraged increasingly sophisticated computational models of neural processing as a way of predicting the BOLD response on a trial-by-trial basis.
You can start by looking for the financial leverage points in your operation. Think of the different tasks in your organization that require reasoning or experience to perform well.
Two popular types of applications that leverage companies' investments in data warehousing are data mining and campaign management software.
The ratio of Structural Capital / Human Capital. It indicates how well an organization leverages its human capital through it structural capital. A higher ratio indicates good leverage and minimizes the loss of knowledge when people leave.
We leverage proprietary Natural Language Processing and machine learning algorithms to dissect the who, what and why of online opinion. We're particularly unique in our ability to segment blogosphere authors by age and gender. ...
Now that we have a clear understanding of how to evaluate DM models properly, we can look closer at the business processes that must be coordinated by data mining tools that can leverage model results to increase corporate profitability.
A second example is how, for instance, a new development in statistical analysis can instantly be appplied to leverage benefit in all disciplines that make use of statistical analysis as a tool.
The add-in leverages the power of SQL Server Analysis Services; the user need not have any prior knowledge of data mining.
 See also: Data mining, Neural network, Distribution, Regression, Classification
  
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