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For each stationary policy, the associated Markov chain {X n } in the perturbed model is aperiodic It is not dif cult to verify that for each stationary policy the average cost per time unit in the perturbed model is the same as that in the original model For the unichain case this is an immediate consequence of the representation (627) for the average cost and the fact that for each stationary policy the Markov chain {X n } has the same equilibrium probabilities as the Markov chain {Xn } in the original model For the multichain case, a similar argument can be used to show that the two models are in fact equivalent Thus the value-iteration algorithm can be applied to the perturbed model in order to solve the original model In speci c problems involving periodicities, the optimal value of is usually not clear beforehand; empirical investigations indicate that = 1 is usually a satisfactory choice 2 Modi ed value iteration with a dynamic relaxation factor Value iteration does not have the fast convergence of policy iteration The number of iterations required by the value-iteration algorithm is problem dependent and increases when the number of problem tates gets larger Also, the tolerance number in the stopping criterion affects the number of iterations required The stopping criterion should be based on the lower and upper bounds mn and Mn but not on any repetitive behaviour of the generated policies R(n) The convergence rate of value iteration can often be accelerated by using a relaxation factor, such as in successive overrelaxation for solving a single system of linear equations Then at the nth iteration a new approximation to the value function Vn (i) is obtained by using both the previous values Vn 1 (i) and the residuals Vn (i) Vn 1 (i) It is possible to select dynamically a relaxation factor and thus avoid the experimental determination of the best value of a xed relaxation factor The following modi cation of the standard value-iteration algorithm can be formulated Steps 0, 1, 2 and 3 are as before, while step 4 of the standard value-iteration algorithm is modi ed as follows Step 4(a) Determine the states u and v such that Vn (u) Vn 1 (u) = mn and compute the relaxation factor = Mn mn + Mn mn , j I {puj (Ru ) pvj (Rv )}{Vn (j ) Vn 1 (j )} and Vn (v) Vn 1 (v) = Mn.

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Figure 5.5 depicts the track-based rebuild algorithm. n reading data from the data disks, playback data are still retrieved in xed-size blocks but rebuild data are retrieved in tracks. This allows the elimination of rotational latency during rebuild data retrieval. Speci cally, in block-based retrieval, the disk head must wait for the required disk sector to rotate to beneath the disk head before data transfer can begin. In the worst case where the required sector has just passed over the disk head after searching is complete, the disk will have to wait for one complete round of rotation before beginning data transfer. By contrast, under track-based retrieval, the disk head can start data transfer as soon as seeking is completed because the entire track is to be retrieved. Clearly, the reading time is.17), we can determine the maximum number of tracks that an be retrieved for rebuild given there are already u data requests in a round, denoted by V (u), from V (u) = max v|tr (u, v) (N D 1)Q , v = 0, 1, . . . Rv (5.31).Using Barcode generation for Java Control to generate, create barcode image in ava applications.Related: Create EAN-8 .NET , Print UPC-E .NET , .NET ISBN Generator

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most candidates had to take all sections of the examination in a single two-day period and receiving credit for an examination section was conditioned not only on performance on that section, but also performance on other sections Under CBT, candidates are allowed to take as many or few sections as they desire and performance on other sections has no bearing on the granting of credit for a given section These factors created two issues that had to be resolved First, how could a standard setting study be conducted that would provide appropriate information on the ew item formats Second, how should the policy-makers (the Board of Examiners) consider the standard setting data along with other relevant information to establish the passing standards One study was conducted (Hambleton & Pitoniak, 2002) to identify and select standard setting methods The results of the studies supported the use of standard setting techniques that required expert panelists to evaluate both the content of the test and representative performance of examinees Thus, the operational standard setting studies were based on methods that provided panelists with examples of actual examinee performance on speci c assessment tasks However, the data provided to panelists was either (1) collected in the paper-based program under the prior administrative regulations or (2) based on low stakes, pretest administrations of the new item formats As a result, even though the design and conduct of the studies was appropriate (ie there was a satisfactory answer to the rst issue), the extent to which the results could be expected to represent performance of minimally competent candidates in the new administrative environment was unclear Therefore, there was no clear direction for the policy makers deliberations on how to incorporate the standard setting results with other relevant information This dilemma is not new in high stake testing, as evidenced by the special issue of Educational Measurement: Issues and Practices in 1991 and the work of Glass (1978) Ultimately, the policy body charged with setting the nal passing scores, the Board of Examiners, used the standard setting study results as the basis of its decision However, it adjusted the study-based standard substantially based on other information including, but not limited to, the expected stakeholder perceptions of the validity of the examination if passing rates varied dramatically from prior experience This is a dilemma that will undoubtedly be faced by more and more test sponsors as consumer demands result in signi cant changes to tests and testing conditions Further research is essential to provide policy groups with guidance concerning how to responsibly set passing standards that incorporate multiple information sources in a manner that, while arbitrary, is not capricious.

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Learning Rate A time-decaying learning rate may be used, where training starts with a large learning rate which gradually decreases That is, (t) = (0)e t/ 2 where 2 is a positive constant and (0) is the initial, large learning rate Shortcut Winner Search The shortcut winner search decreases the computational complexity by using a more e cient search for the BMN The search is based on the premise that the BMN of a pattern is in the vicinity of the BMN for the previous epoch The search for a BMN is therefore constrained to the current BMN and its neighborhood In short, the search for a BMN for each pattern is summarized in Algorithm 46 Algorithm 46 Shortcut inner Search Retrieve the previous BMN; Calculate the distance of the pattern to the codebook vector of the previous BMN; Calculate the distance of the pattern to all direct neighbors of the previous BMN; if the previous BMN is still the best then Terminate the search; end else Let the new BMN be the neuron (within the neighborhood) closest to that pattern; end (440). Code In VS .NET Using Barcode generation for .NET Control to generate, create barcode image in .Related:

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