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This directive specifies the top-level directory of the Web server The specified directory is not where you keep your Web contents It is really a directory, which normally has these subdirectories:

{ServerRoot Directory} | |----bin |----conf |----htdocs |----htdocs/ | | | +---manual | |----developer | |----howto | |----images | |----misc | |----mod | |----platform | |----programs | |----search | +----vhosts | |----icons

Class mSMQSettings Class Type Structural Mandatory & Optional Attributes mSMQDependentClientService mSMQDsService mSMQMigrated mSMQNt4Flags mSMQOwnerID mSMQQMID mSMQRoutingService mSMQServices mSMQSiteName mSMQSiteNameEx mSMQCost mSMQSite1 mSMQSite2 mSMQSiteGates mSMQSiteGatesMig mS-SQL-Contact mS-SQL-Description mS-SQL-InformationURL mS-SQL-Keywords mS-SQL-LastUpdatedDate mS-SQL-Name mS-SQL-PublicationURL mS-SQL-Size mS-SQL-Status mS-SQL-Applications mS-SQL-ConnectionURL mS-SQL-Contact mS-SQL-Description mS-SQL-InformationURL mS-SQL-Keywords mS-SQL-LastBackupDate mS-SQL-LastUpdatedDate mS-SQL-Name mS-SQL-PublicationURL mS-SQL-Size mS-SQL-Status mS-SQL-Type mS-SQL-Build mS-SQL-Contact mS-SQL-InformationURL mS-SQL-Keywords mS-SQL-Language mS-SQL-Name

| | | +---small | |----logs |----cgi-bin +----include /usr/local/apache is the parent directory for all server-related files The default value for ServerRoot is set to whatever you choose for --prefix option during source configuration using the configure script By default, the make install command executed during server installation copies all the server binaries in %ServerRoot%/bin, server configuration files in %ServerRoot%/conf, and so on

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Many problems in machine learning involve high-dimensional descriptions of input features. It is therefore not surprising that much research has been carried out on dimensionality reduction [67,176,194,214,231]. However, existing work tends to destroy the underlying semantics of the features after reduction (e.g., transformation-based approaches [77]) or require additional information about the given data set for thresholding (e.g., entropy-based approaches [232]). A technique that can reduce dimensionality using information contained within the dataset and that preserves the meaning of the features (i.e., semantics-preserving) is clearly desirable. Rough set theory (RST) can be used as such a tool to discover data dependencies and to reduce the number of attributes contained in a dataset using the data alone, requiring no additional information [261,274,323]. Over the past 10 years RST has become a topic of great interest to researchers and has been applied to many domains. Given a dataset with discretized attribute values, it is possible to nd a subset (termed a reduct) of the original attributes using RST that are the most informative; all other attributes can be removed from the dataset with minimal information loss (i.e., with no information loss in terms of the class attribute prediction accuracy for training patterns). From the dimensionality reduction perspective, informative features are those that are most predictive of the class attribute. This chapter focuses on those recent techniques for feature selection that employ a rough set-based methodology for this purpose, highlighting current trends in this promising area. Rough set fundamentals are introduced with a simple example to illustrate its operation. Several extensions to this theory are

The safe_mode_protected_env_vars directive allows you to set a commadelimited list of environment variables that cannot be changed by any PHP script that uses the putenv() function Syntax: safe_mode_protected_env_vars environment_variable

Mandatory & Optional Attributes mS-SQL-PublicationURL mS-SQL-RegisteredOwner mS-SQL-ServiceAccount mS-SQL-Status mS-SQL-Version

[environment_variable ]

Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches, by Richard Jensen and Qiang Shen Copyright 2008 Institute of Electrical and Electronics Engineers

Default setting: safe_mode_protected_env_vars = LD_LIBRARY_PATH If you wish to protect all the environment variable that starts with HTTP_ prefix, you can use:

mS-SQL-Alias mS-SQL-Applications mS-SQL-Contact mS-SQL-CreationDate mS-SQL-Description mS-SQL-InformationURL mS-SQL-Keywords mS-SQL-LastBackupDate mS-SQL-LastDiagnosticDate mS-SQL-Name mS-SQL-Size mS-SQL-Status mS-SQL-AllowAnonymousSub... mS-SQL-AllowImmediateUpda... mS-SQL-AllowKnownPullSub... mS-SQL-AllowQueuedUpdating... mS-SQL-AllowSnapshotFileFT... mS-SQL-Database mS-SQL-Description mS-SQL-Name mS-SQL-Publisher mS-SQL-Status mS-SQL-ThirdParty mS-SQL-Type mS-SQL-Build mS-SQL-Contact mS-SQL-Description mS-SQL-InformationDirectory mS-SQL-Name mS-SQL-Status mS-SQL-Version mS-SQL-AppleTalk mS-SQL-Build mS-SQL-CharacterSet mS-SQL-Clustered mS-SQL-Contact mS-SQL-GPSHeight mS-SQL-GPSLatitude

safe_mode_protected_env_vars = HTTP_

The track_errors directive enables or disables storing of error message in a PHP variable called $php_errormsg Syntax: track_errors On | Off

also presented that enable alternative approaches to feature selection. Many of these approaches are evaluated experimentally and compared. Some of the techniques described here can be found in rough set systems available online [291,292].

The upload_max_filesize directive sets the maximum size of a file that can be uploaded via PHP The default limit is 2MB (2M) Alternatively, you can specify just the kilobyte number Syntax: upload_max_filesize kilobytes Default setting: upload_max_filesize 2M For example, the following are equivalent:

Table F-1 (continued)

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