Applications Classification

Biological variability can be demonstrated quite readily by building a QSAR model, which discriminates between chemicals with different toxicological hazard classifications. Application of computer-based QSARs has resulted in developing novel predictive capabilities for representing chemical structures as a distribution of conformations and properties rather than discrete structures. 

Czerminski R, Yasri A, Hartsough D. Use of support vector machine in pattern classification Application to QSAR studies. Quant Struct-Act Rel 2001 20 227 10. 

There are many classification tools available for use. Some examples are Oracle Text, ReelTwo s CS, and SVMLight. Oracle has several built into their OraclelOg database. SVMLight is available for SVM-based text classification [20]. ReelTwo [22] has a classifier with a user interface to ease development of categorization models. Most of the authors text-categorization experience is based on Oracle or ReelTwo. A variety of other classification applications are available. Selection of a specific application is dependent on classification goals, user interface, application features, and scalability requirements. 

J. J. Moore and H. J. Feng. Combustion synthesis of advanced materials Part I. Reaction parameters Part II. Classification, applications, and modeling. Progr. Mater. Sci. 39, 243, 275 (1995). 

This method can be used for muLticategory classifications application to binary encoded infrared spectra gave however poorer results than distance measurements to centres of gravity C3563. 

Rajalahti, T., Kroksveen, A.C., Ameberg, R., et al (2010) A multivariate approach to reveal biomarker signatures for disease classification application to mass spectral profiles of cerebrospinal fiuid from patients with multiple sclerosis. J. Proteome Res., 9 (7), 3508-3620. 

Three different detection modes can be utilized including fixed potential preferred in flow systems and for biosensors, step pulse potential and sweeping potential of which the last two are preferred in batch systems. Up and coming are microchip capillary electrophoresis coupled with amperometric screen-printed electrodes [25], Metal sensors are also used, but lack selectivity. They are more useful for classification applications than for evaluation of taste, like predicting sensorial descriptors of Italian red dry wines of different origins [26]. 

Use of Support Vector Machine in Pattern Classification Application to QSAR Studies. 

In some classification applications, the required cut point is very sharp and the rheology of both separated phases is such that they remain quite fluid. In this type of application the pond used would be relatively deep, and separation would be akin to a liquid/liquid separation, using a hydraulic balance under some form of baffle. 

Very occasionally there will be found a classification application where it is required to separate two distinctly different particles, such as in the refining of minerals. In these cases the two different substances to be separated may have markedly different densities. This is particularly acceptable and quite advantageous when the denser material comprises the larger-sized particles. However, if this is not so. one must consider a combination of density and particle size for the cut point of each of the two substances, in relation to Stokes law. One could visualise the situation of a large, low-density particle settling faster than a high-density, small particle. Thus for such a process to be feasible ... 

Poor efficiencies can occur in some classification applications, due to natural agglomeration of particles. In these applications, the use of dispersants is quite common. Dispersants have the opposite effect to flocculants, and can be equally powerful. 

The clay and lime classification applications, covered in Chapter 6, are also examples of data which would be scaled by Sigma ratios. 

Sweet potato toxins, 1042 Synthetic dyes, 1001-0132 chromatography of dyes, 1002-1003 classification, application, and colors, 1001-1002 HPTLCofdyes, 1024-1026 identification, analysis, and evaluation, 1002 OPLCofdyes, 1023-0124 preparation of samples and thin layers, 1003-1006... 

Parker, S. Rowmeter classifications, applications and performance factors. Chemical Processing, 1997 Ruid Row Annual. 

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