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Table 1: Settings of the set of alternative words for discrimina- tion Mr and smoothing function f and exponent for several criteria. criterion smoothing word sequences exponent

in A Combined Maximum Mutual Information And Maximum Likelihood Approach For Mixture Density Splitting
by Ralf Schlüter, Wolfgang Macherey, Boris Müller, Hermann Ney

Table 1: Example of common functions of devices: Same functions are mapped to the same gesture; similar functions may be mapped to the same gesture if this is intuitive and no other function is overloaded.

in System Architecture and Techniques for Gesture Recognition in Unconstraint Environments
by M.R.J. Kohler 1997
"... In PAGE 2: ... 1). Further control is ac- cording to Table1 , where one gesture is used for each line. Every gesture is mapped to several similar tasks from di erent devices2, which reduces the number of gestures and makes the dialogue more intuitive.... ..."
Cited by 6

Table 1: The value of the evaluation function for several sets of features. The

in The minimum description length principle applied to feature learning and analogical mapping
by Mark Derthick 1990
"... In PAGE 29: ... The units are bits. Table1 lists the value of this function for several sets of features. Gener- ally, the rankings accord with intuition.... In PAGE 32: ... 3.6 Family Relations Problem Table1 shows that the evaluation function ranks combinations of intuitively reasonable features in a reasonable way. Figure 13 shows that it is su - ciently smooth that simulated annealing can nd solutions as good as the presumed global optimum of fPerson Sex Nationality Generationg.... ..."
Cited by 3

Table 4.3: Estimated orders of several schemes for the smooth case.

in Higher Order Flux-Limiting Methods for Steady-State, Multidimensional, Convection-Dominated Flow
by M. Zijlema, P. Wesseling

Tables 1.1-1.3 report some numerical experiments for M 104 (Table 1.1) and M 105 (Tables 1.2, 1.3). The results almost speak for themselves. In contrast to [FH96], the Smolyak quadratures do not perform very well, particularly with moderate numbers of grid points in higher dimensions. Among them only the Smolyak quadrature based on the trapezoidal rule can achieve satisfactory results. This is due to the fact, that the trape- zoidal rule is optimal on the class of smooth periodic functions on [0; 1] (see [TWW88]). Since good{lattice points were developed especially for periodic functions of several variables, it was to be expected that their discrepancy would be smaller than the discrepancy of the tensor product methods. However, we were surprised by the extend of superiority of the number{theoretic

in Computing Discrepancies Related to Spaces of Smooth Periodic Functions
by Karin Frank, Stefan Heinrich

Table 40- SmoothPerimeter function Function Purpose

in A Genetic Algorithm Approach to Space Layout Planning Optimization
by Hoda Homayouni 2007
"... In PAGE 10: ...able 39- smoothnessFitness function ......................................................................... 124 Table40 - SmoothPerimeter function .... ..."

Table 1: Distribution Function Estimation Normalized MISE of Smooth Distribution Function

in Bandwidth Selection for Nonparametric Distribution Estimation
by Bruce E. Hansen 2004
"... In PAGE 6: ... We calculate the SDF using the reference bandwidth (4) and the plug-in bandwidths (9) for j = 1 through 8. Table1 reports the results. The first column reports the relative MISE for the reference bandwidth.... ..."

Table 8: quot; The smoothness of conversations

in unknown title
by unknown authors
"... In PAGE 5: ... Table 7 shows the part of the results. The results showed that the system with the function of making typing state visible (factor A) gains significantly higher score than that without them concerning the smoothness of conversa- tions, the easiness of adjusting the timing of ut- terances and the easiness of using the system ( Table8... ..."

Table 4 Flux Density Ratios from 2 Minimization Smoothing Smoothing Function \Width quot;

in A Determination of
by With The Class, C. D. Fassnacht, T. J. Pearson, A. C. S. Readhead, I. W. A. Browne, L. V. E. Koopmans, S. T. Myers, P. N. Wilkinson

Table 1: The in uence of applying procedure Smooth for the LL penalty function

in Scheduling with Common Due Date, Earliness and Tardiness Penalties for Multi-Machine Problems: A Survey
by Volker Lauff, Frank Werner
"... In PAGE 15: ...arison. For details the reader is referred to [22]. Here we discuss only the in uence of procedure Smooth for the LL penalty function a bit more in detail. The results for a selection of the heuristics are given in Table1 . We use the following notation in order to distinguish the meth- ods.... In PAGE 15: ... Thus, as an example, I(SPT2,N) means that the jobs are inserted according to non-increasing processing times on M2 without due date modi cation and without procedure Smooth. It can be seen from Table1 that the use of procedure Smooth can improve the results obtained with the insertion and appending procedures considerably. This holds particularly for the variants, where without procedure Smooth bad results are obtained.... ..."
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