Get Solving Irregularly Structured Problems in Parallel: 5th PDF

By John R. Gilbert (auth.), Alfonso Ferreira, José Rolim, Horst Simon, Shang-Hua Teng (eds.)

ISBN-10: 3540648097

ISBN-13: 9783540648093

ISBN-10: 3540685332

ISBN-13: 9783540685333

This publication constitutes the refereed lawsuits of the fifth overseas Symposium on fixing Irregularly dependent difficulties in Parallel, IRREGULAR'98, held in Berkeley, California, in August 1998.
The 26 revised complete papers awarded have been conscientiously reviewed and chosen for inclusion from a number of dozen submissions. additionally incorporated are abstracts of 4 invited talks and six invited shows given in the course of minisymposia held in parallel. The booklet offers a special review on algorithmic, applicational, and platforms elements bobbing up within the improvement of effective parallel recommendations to irregularly based problems.

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Extra resources for Solving Irregularly Structured Problems in Parallel: 5th International Symposium, IRREGULAR'98 Berkeley, California, USA, August 9–11, 1998 Proceedings

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When we order the profiles with decreasing weights, we got a little better result. In our final version, we hope to include experiments from a real deployment. 6 Acknowledgment The authors wish to thank the entire GCS team, particularly John Thomas and Joe Gebis, for their support in GCS webcasting development. We would like to especially thank Professor Gunter Schlageter for his encouragement and support. References 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. W. Yan, H. Garcia-Molina, A toot for wide-area information dissemination, Proceedings o] the 1995 USENIX Technical Con/erence, pages 177-86, 1995.

Bpx and l e n . l e x . Ixn. bpx len. lex MDL (min) Precision (max) 141 148 38 56 The dimension estimate for ixn. bpx are certainly better than that for len. lex, but both of them seem to be within reasonable range of the optimal k. We 34 should also keep in mind that the optimal k is based on the given 30 queries and it can certainly change for a different set of queries. For example, we have also tested the case of measuring the average precisions based on subsets of the 30 queries, the optimal k's are around 50 for l e n .

_~ 0"min(m,n), (1) be the SVD of A. Then the representation is given by the best rank-k approximation Ak -- Pk&kQ~, where Pk and Qk are formed by the first k columns of P and Q, respectively, and Xk is the k-th leading principal submatrix of Z. Corresponding to each of the k reduced dimensions is associated a latent-concept which may not have any- explicit semantic content yet helps to discriminate documents [1, 4]. The effectiveness of LSI measured by, for example, increased average precision, has been demonstrated for several text collections [4].

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Solving Irregularly Structured Problems in Parallel: 5th International Symposium, IRREGULAR'98 Berkeley, California, USA, August 9–11, 1998 Proceedings by John R. Gilbert (auth.), Alfonso Ferreira, José Rolim, Horst Simon, Shang-Hua Teng (eds.)


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