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Dicing

As an example, the possible outcomes and associated probabilities for rolling a pair of six-sided dice are... [Pg.10]

For examples of different types of similarity measures, see Table 6-2. The Tanimoto similarity measure is monotonic with that of Dice (alias Sorensen, Czekanowski), which uses an arithmetic-mean normaJizer, and gives double weight to the present matches. Russell/Rao (Table 6-2) add the matching absences to the nor-malizer in Tanimoto the cosine similarity measure [19] (alias Ochiai) uses a geometric mean normalizer. [Pg.304]

Asymmetry in a similarity measure is the result of asymmetrical weighing of a dissimilarity component - multiplication is commutative by definition, difference is not. By weighing a and h, one obtains asymmetric similarity measures, including the Tversky similarity measure c j aa 4- fih + c), where a and fi are user-defined constants. The Tversky measure can be regarded as a generalization of the Tanimoto and Dice similarity measures like them, it does not consider the absence matches d. A particular case is c(a + c), which measures the number of common features relative to all the features present in A, and gives zero weight to h. [Pg.308]

The resulting similarity measures are overlap-like Sa b = J Pxi ) / B(r) Coulomblike, etc. The Carbo similarity coefficient is obtained after geometric-mean normalization Sa,b/ /Sa,a Sb,b (cosine), while the Hodgkin-Richards similarity coefficient uses arithmetic-mean normalization Sa,b/0-5 (Saa+ b b) (Dice). The Cioslowski [18] similarity measure NOEL - Number of Overlapping Electrons (Eq. (10)) - uses reduced first-order density matrices (one-matrices) rather than density functions to characterize A and B. No normalization is necessary, since NOEL has a direct interpretation, at the Hartree-Fodt level of theory. [Pg.308]

Empirically, the Dice coefficient has worked better than cosine similarity in retrieving actives and is the standard choice for use with the ap and tt descriptors. [Pg.312]

Dice similarity coefficient Also known as the Hodgkin index c. 2 El 1 ... [Pg.693]

Fig. 7. Fabrication process for MLC capacitors. Steps are (a) powder (b) slurry preparation (c) tape preparation (d) electroding (e) stacking (f) lamination (g) dicing (h) burnout and firing and (i) termination and lead attachment. Fig. 7. Fabrication process for MLC capacitors. Steps are (a) powder (b) slurry preparation (c) tape preparation (d) electroding (e) stacking (f) lamination (g) dicing (h) burnout and firing and (i) termination and lead attachment.
The wafers are then sawn (or cleaved) into individual dice (- 250 x 250 ) and packaged (see Packaging Semiconductors and electronic... [Pg.119]

Example 5 Probability Calculation If a six-sided die marked with the mimhers 1, 2, 3, 4, 5, and 6 is thrown, the prohahihty that any given mimher will he uppermost is F6. If the die is thrown twice in succession, then the proh-ahility of a given sequence of mimhers occurring, say, 5 followed hy 6, is (F6)(l/6) = 1/36. The chance of any particular mimher occurring 0, 1, 2, 3, or 4 times in four throws of the die (or in a simultaneous throw of four dice) is given hy the successive terms of Eq. (9-77), expanded as... [Pg.822]

Physical form of product Crumbs 0.6-cm diced cubes Washed seeds... [Pg.1193]

In performing a Monte Carlo sampling procedure we let the dice decide, again and again, how to proceed with the search process. In general, a Monte Carlo search consists of two steps (1) generating a new trial conformation and (2) deciding whether the new confonnation will be accepted or rejected. [Pg.72]

Silicon wafer grinding and dicing tapes used in electronic chip manufacturing. [Pg.517]

Another important factor is the corrosiveness of the adhesive. This may be especially important in those cases where the PSA has direct contact with the bare wire, the electronic component, or the silicon wafer in a dicing operation. In those cases where an electrical current is running through the device, electrolytic corrosion processes may occur, especially if moisture can penetrate into the adhesive or bond line. [Pg.518]

As Tribus, 1969, says, all probabilities are conditional. In the example of the dree, the probabilities are conditioned on the assumption that the dice are perfect and the method of throwing has no effect on the outcome. Some writers (e.g., deMorgan, 1847) say, probability refers to the belief by a mind having uncertain knowledge. This is the interpretation of probability in the Zion-Indian Point (ZIP) and some other PSAs. IVobabiiity in this sense attempts to include all information e.g., QA that could affect the performance of a piece of equipment. Such information may be conveyed as a distribution whose height is proportional to confidence in the belief and who.se width reflects uncertainty (refer to Section 2.6). [Pg.41]

A much more pronounced vortex formation in expanding combustion products was found by Rosenblatt and Hassig (1986), who employed the DICE code to simulate deflagrative combustion of a large, cylindrical, natural gas-air cloud. DICE is a Eulerian code which solves the dynamic equations of motion using an implicit difference scheme. Its principles are analogous to the ICE code described by Harlow and Amsden (1971). [Pg.109]

Kndchel, m. knuckle ankle (pi.) dice. Knochen. m. bone. [Pg.248]


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See also in sourсe #XX -- [ Pg.34 ]

See also in sourсe #XX -- [ Pg.135 ]




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CyDye DICE minimal fluors

DICE program

Dice coefficient

Dice cut

Dice similarity index

Dice throws

Dice, probability

Dice-and-fill

Dicing operation

Dicing saws

Rolling dice, probability

Slicing and dicing

Wafer dicing

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