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set of training samples. If the number of features is increased, the classi cation rate of the classi er decreases after a peak. In melanoma diagnosis, for instance, the clinical accuracy of dermatologists in identifying malignant melanomas is only between 65% and 85% [124]. With the application of FS algorithms, automated skin tumor recognition systems can produce classi cation accuracies above 95%. Structural and functional data from analysis of the human genome have increased many fold in recent years, presenting enormous opportunities and challenges for AI tasks. In particular, gene expression microarrays are a rapidly maturing technology that provide the opportunity to analyze the expression levels of thousands or tens of thousands of genes in a single experiment. A typical classi cation task is to distinguish between healthy and cancer patients based on their gene expression pro le. Feature selectors are used to drastically reduce the size of these datasets, which would otherwise have been unsuitable for further processing [318,390,391]. Other applications within bioinformatics include QSAR [46], where the goal is to form hypotheses relating chemical features of molecules to their molecular activity, and splice site prediction [299], where junctions between coding and noncoding regions of DNA are detected. The most common approach to developing expressive and human readable representations of knowledge is the use of if-then production rules. Yet real-life problem domains usually lack generic and systematic expert rules for mapping feature patterns onto their underlying classes. In order to speed up the rule

Aside from the primary Active Directory tools installed during an Active Directory implementation, the Windows 2000 Resource Kit and the AdminPak tools provide you with several administrative tools that are beneficial in your Active Directory deployment and troubleshooting. Use this appendix to reference the tools and appropriate command-line syntax.

For example:

shows file sizes in bytes To show files in kilobytes or megabytes, use:

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Fuzzy rule bases are typically assumed to be given by domain experts. However, the acquisition of knowledge on rule structures often forms the bottleneck to advance the success of fuzzy systems in practice [288], though the linguistic labels or fuzzy sets that are used within the rules may be subjectively de ned. For many applications there exists a considerable volume of historical data obtained by observing the behavior of the system concerned. It is therefore desirable to be able to automatically generate rules from given data. Many techniques exist for

s I have said throughout this book, the odds are quite good that you are implementing the Active Directory as an upgrade to an existing NT network. During your planning process, you have to make a lot of decisions about what you will do with existing domains and how you will consolidate some or most of your NT domains into the new Active Directory networking model. With that said, you will be doing a lot of NT Server upgrades to Windows 2000. In domains that you choose to keep, or at least choose to maintain the user accounts, you will need to upgrade your primary domain controller (PDC) first to establish the domain and retain your user accounts. Then, you can upgrade your backup domain controllers (BDCs) so they become supporting domain controllers in the Active Directory environment. This appendix is designed to be a handy installation reference tool for upgrading Windows NT PDCs and BDCs to Windows 2000. Before you upgrade to Windows 2000, you should check your PDC and BDC hardware to ensure that all hardware is compatible with Windows 2000. You should also perform a full backup of your data just in case things do not go well during the installation.

<!-#config sizefmt= abbrev --> config timefmt=format string lets you to choose the display format for time: config timefmt=format string

The commonly used value of the format string can consist of the identifiers shown in Table 13-1

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