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Table 1: Legal hyphenations found by the neural network approach (NN) and TEX.
Table 1: Principled and structured design approach basic research model construction theoretical research legal perspective knowledge engineering perspective empirical research
2002
Cited by 1
Table 1: Results averaged over 1000 problems of each size. The entries % legal and lt;CPU time gt; refer to the MF Potts approach. The time is given in seconds using DEC Alpha 2000. Typical times for the BB method are around 600 seconds.
1998
"... In PAGE 8: ...efer to the MF Potts approach. The time is given in seconds using DEC Alpha 2000. Typical times for the BB method are around 600 seconds. Table1 indicates an excellent performance of the MF Potts approach, with respect to giving rise to... ..."
Cited by 9
Table 1: Results averaged over 1000 problems of each size. The entries \% legal quot; and lt;CPU time gt; refer to the MF Potts approach. The time is given in seconds using DEC Alpha 2000. Typical times for the BB method are around 600 seconds.
1998
"... In PAGE 8: ...efer to the MF Potts approach. The time is given in seconds using DEC Alpha 2000. Typical times for the BB method are around 600 seconds. Table1 indicates an excellent performance of the MF Potts approach, with respect to giving rise to... ..."
Cited by 9
Table 7: Financial Structure, the Legal Environment, and Industry Growth Structure-Activity Structure-Size Structure-Aggregate
"... In PAGE 17: ...13 To test for the joint significance of these legal variables we include a F-test of the three interaction terms. The results in Table7 provide support for the legal-based approach. While none of the interaction terms of our financial structure variables is significant, the interaction terms of the three legal variables are jointly significant.... ..."
Table 1: Results for small problems, 1000 problem of each size are probed. Only legal entries are used when calculating the averages lt; BB gt; and lt;CPU-time gt;. lt;CPU time gt; refers to the MF Potts approach using a DEC Alpha 2000, and is given in seconds. Typical times for the BB method are around 600 seconds.
1998
"... In PAGE 9: ... As a measure of the complexity of a problem we use the entropy, S, de ned as the logarithm of the total number of possible con gurations, disregarding load constraints. Table1 indicates an excellent performance of the MF Potts approach, with respect to giving rise to legal solutions with good quality, with a very modest... ..."
Cited by 9
Table 11. Recourse to Legal Institutions
1999
"... In PAGE 18: ...listed in Table11 , show that, apart from an occasional recourse to the police, the use of legal institutions by Malagasy grain traders is extremely low in contractual disputes with suppliers and clients. One conceivable interpretation of these numbers is that legal enforcement in Madagascar is so effective and predictable that parties rationally anticipate the outcome and prefer to settle beforehand to avoid litigation costs.... In PAGE 18: ... One conceivable interpretation of these numbers is that legal enforcement in Madagascar is so effective and predictable that parties rationally anticipate the outcome and prefer to settle beforehand to avoid litigation costs. Table11 indeed indicates that direct negotiations are the instrument of choice to resolve contractual disputes. Mediators are used occasionally as well.... ..."
Cited by 2
Table 3. Classet of legal documents
2002
"... In PAGE 5: ... This kind of semantic information is unfortunately absent of WordNet, because only intracategorial semantic relations are allowed. Table3 shows at the top the larger classet built by our clustering algorithm. Its members are co-hyponyms of the general class refer- ring to legal documents.... ..."
Cited by 10
Table 2: Statistics of Legality Checking
"... In PAGE 19: ... Our system included a built-in dictionary to check the legality of the ex- tracted terms. Table2 presents a comparison of the statistics generated by using of the built-in dictionary and the result of legality checking for the sample bibliographic data. By applying only 3338 terms in the dictionary we were able to screen out 22139 illegal terms.... ..."
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