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26: Flash Remoting Services . . . . . . . . . . . . . . . . . . . . . . . . . 569 27: Using Server-Side ActionScript. . . . . . . . . . . . . . . . . . . . . . 591

class discrimination The optimal transformation in LDA can be readily computed by applying an eigendecomposition on the so-called scatter matrices It has been used widely in many applications involving high-dimensional data [19 24] However, classical LDA requires the so-called total scatter matrix to be nonsingular In many applications involving high-dimensional and low sample size data, the total scatter matrix can be singular since the data points are from a very high-dimensional space, and in general the sample size does not exceed this dimension This is the well-known singularity or undersampled problem encountered in LDA In recent years, many LDA extensions have been proposed to deal with the singularity problem, including PCA+LDA [19, 23], regularized LDA (RLDA) [21], null space LDA (NLDA) [20], orthogonal centroid method (OCM) [25], uncorrelated LDA (ULDA) [24], orthogonal LDA (OLDA) [24], and LDA/GSVD [26] A brief overview of these algorithms is given in Section 12.

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28: Integrating ColdFusion MX and Java . . . . . . . 29: Integrating COM . . . . . . . . . . . . . . . . . . . 30: Integrating ColdFusion MX with XML and WDDX 31: Communicating via Mail, FTP, and HTTP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 599 621 637 681

If/ElseIf/Else Constructs Switch/Case Constructs Loop Constructs Looping a specified number of times Looping while a condition is true Looping over a query Looping over a list Looping over a structure Breaking out of a loop Including One Template s Code in Another Redirecting the User to a Different Location Stopping a Page s Execution Summary 305 306 307 308 309 310 310 311 311 312 314 315 315.

Different algorithms have been applied successfully in various domains, such as PCA+LDA in face recognition [19, 23], OCM in text categorization [25], and RLDA in microarray gene expression data analysis [21] However, there is a lack of a systematic study to explore the commonalities and differences of these algorithms, as well as their intrinsic relationship This has been a challenging task, since different algorithms apply completely different schemes when dealing with the singularity problem Many of these LDA extensions involve an eigenvalue problem, which is computationally expensive to solve especially when the sample size is large LDA in the binary-class case, called Fisher LDA, has been shown to be equivalent to linear regression with the class label as output Such regression model minimizes the sum-ofsquares error function whose solution can be obtained ef ciently by solving a system of linear equations.

Using Lists Creating a list Adding an item to a list Deleting an item from a list Finding an item in a list Getting an item from a list by the item s index GetToken() vs ListGetAt() Getting the length of a list Looping over a list Choosing a list s delimiters Dealing with empty elements Changing a list s delimiters Sorting list elements Qualifying list elements 317 317 317 318 318 319 320 320 321 321 322 322 323 323.

where the x s are the values of the variables X that enter into the calculation of F . As is shown in the following example, a modeling error can be added to these expressions. The function F could be any relevant function, but for present purposes it is the factor of safety calculated by some appropriate numerical method. Once the mean and variance have been calculated it is a simple matter to compute the reliability index : = E[F ] 1 F (14.3)

To discover the NativeErrorCode values for your database, create a template that throws the error you re investigating, wrap the offending code in a CFTRY block, and CFDUMP Var= #CFCATCH# inside a CFCATCH Type= Any block. The CFDUMP will display a key named NativeErrorCode whose value is what you re looking for.

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