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(Table I). It must be emphasised that Educational Technology Abstracts ranges wider than telematics and includes articles on, for
"... In PAGE 11: ... It showed that the majority are in subjects where routine or mechanical skills play an important part, the knowledge component can be precisely specified or where there is a well-defined professional base. Teaching and teacher education and literacy, reading and writing had the most applications (Table II). (The qualifications on the range and scope of Educational Technology Abstracts set out earlier apply also to this analysis.... ..."
Table 3: Re-running the evaluation system with a wider beam width.
Table 9: Precision and recall with a one-word wider span of words on [Medic]. Coordination Insertion Permutation Total
"... In PAGE 14: ... An extension of the size of the window in which variants are observed would only slightly enhance the recall but would seriously degrade precision. Table9 reports the precision and the recall that can be expected from an extension of the word span. These results have to be compared with the results from Tables 5 and 6.... ..."
Table 2: Example Testing Phrases never too rich and too thin the generation gap gets wider
"... In PAGE 4: ... Testing phrases contained only English characters and were carefully chosen so that each set contained the same number of ambiguous words for each keypad design. Example testing phrases are shown in Table2 . Subjects were told to work as quickly and accurately as possible, and to correct any errors that they noticed.... ..."
Table 5: This table contains the sample correlations between the actual readership scores in the hold-out sample (March 1993 issue) and predicted scores from the re- gression model as estimated using a variety of approaches. The methods are arrayed across the top of the table and are described in section 4.6, while the the results are given for all three readership scores.
"... In PAGE 28: ... For comprehensive simulations on the reliability of such a semiparametric regression approach we refer the reader to Smith and Kohn (1996; 1997). |{ Table5 About Here.|{ 5 Summary and conclusion.... ..."
Table 7: Factors that improved recognition accuracy What WER Wider front end/more cepstral coeffs. -4.4
2000
"... In PAGE 5: ... Summary Overall, the combination of techniques described here reduced word error rate by about 12% absolute in our Hub-5 system. Table7 gives an approximate breakdownof this improvement estimated from var- ious contrastive experiments; the sum of individual WER reductions is smaller than the actual total reduction, partly because the base- line WERs for the various contrasts were higher than in the final system, and partly because some of the approaches overlap in what they model (e.g.... ..."
Cited by 25
Table 1: Machine configurations used in sim-alpha simulations. Wider pipeline widths and more functional units were not found to improve performance.
Table 2 summarizes aspects of some deductive database systems developed recently. The table was adapted from [13] which provides a wider comparison. Name Evaluation Syntactic Negation Data Requirements Restrictions
1994
"... In PAGE 3: ... If the active set of a recursive query does not t into main memory, its e cient evaluation is an open problem both for SLG and for magic evaluation. Table2 , does not classify the various systems on the basis of their treatments of sets or aggregation. Most of the systems allow sets as objects of the universe, while the HiLog systems, Glue-Nail and XSB, use terms as the names of sets, and use negation to construct predicates for set equality, subset checks, etc.... In PAGE 9: ... win/1 is modularly strati ed i move/2 is acyclic. Table2 shows times for evaluating this program on complete binary trees of varying height using SLG negation, SLDNF (i.... In PAGE 9: ...24 .23 XSB / E-Neg 1 1 1 1 1 1 Table2 : Comparisons of SLG implementations for complete binary trees Note that ratio of the times for existential negation and SLDNF is essentially constant, while the relative time for SLG negation increase as the depth of the tree increases. To see why SLG evaluation is worse than SLDNF, consider the calls made by SLDNF for the query win(1) over a binary tree of height 4 with 31 nodes.... ..."
Cited by 191
Table 1. Some examples of common definitions of the term dynamical system from outside cognitive science, arranged roughly in order, from older narrower definitions to more recent wider ones.
1998
"... In PAGE 6: ...10 Partly as a result, there is no established consensus over what dynamical systems are for the purposes of the hypothesis. Unfortunately, there is also a wide range of definitions in mathematics and science more generally ( Table1 ). These range from older, narrow definitions in terms of particles governed by forces to more recent broad definitions which subsume all systems in the current sense.... In PAGE 8: ... Second, it sits comfortably with existing definitions. The levels of quantitative character roughly correspond to definitions 1-4 of Table1 . Third, it is cast in terms of deep, theoretically significant properties of systems.... In PAGE 15: .... This kind of move is reasonable in the light of some strands of contemporary usage (see Table1 ). However, it only appears to constitute an objection to the DH because it equivocates on the term dynamical system .... ..."
Cited by 53
Table 4. The power consumption of the central buffer, the final buffers, and the clock distribution network in Fig. 7 when wider wires are used as compared to a narrow wire implementation.
2001
Cited by 5
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