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Table 6.14 International recommendations for intervention levels presented in the second decision conference by a participant.

in Decision Conferencing in Nuclear Emergency Management
by Mats Lindstedt

Tableau Methods. Kluwer Academic Publishers, 1999. 2. U. Endriss, N. Maudet, F. Sadri, and F. Toni. Protocol Conformance for Logic- based Agents. In Proceedings of the 18th International Joint Conference on Arti- cial Intelligence (IJCAI-2003). Morgan Kaufmann, 2003. 3. M. Fitting. First-order Logic and Automated Theorem Proving. Springer-Verlag, 2nd edition, 1996. 4. P. McBurney and S. Parsons. Desiderata for Inter-agent Protocols. In Proceed- ings of the First International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2002), Bologna, Italy, 2002.

in Competent Agents and Customising Protocols
by Ulle Endriss, Wenjinn Lu, Nicolas Maudet, Kostas Stathis 2003
Cited by 3

Tableau Methods. Kluwer Academic Publishers, 1999. 2. U. Endriss, N. Maudet, F. Sadri, and F. Toni. Protocol Conformance for Logic- based Agents. In Proceedings of the 18th International Joint Conference on Arti- cial Intelligence (IJCAI-2003). Morgan Kaufmann, 2003. 3. M. Fitting. First-order Logic and Automated Theorem Proving. Springer-Verlag, 2nd edition, 1996. 4. P. McBurney and S. Parsons. Desiderata for Inter-agent Protocols. In Proceed- ings of the First International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2002), Bologna, Italy, 2002.

in Competent Agents and Customising Protocols
by Ulle Endriss, Wenjin Lu, Nicolas Maudet, Kostas Stathis 2003
Cited by 3

Table 1: Tableau expansion rules for ALCHR+ Spring Symposium (AAAI apos;97). AAAI Press, Menlo Park, California, 1997. To appear. [Sat95] U. Sattler. A concept language for engineer- ing applications with part{whole relations. In Proceedings of the International Conference on Description Logics|DL apos;95, pages 119{ 123, Roma, Italy, 1995.

in Description Logics with Transitive Roles
by Ian Horrocks, Graham Gough 1997
"... In PAGE 3: ...isMadeOf + hasLayer+ ProcessPartitiveAttribute StructuralPartitiveAttribute+ hasSubprocess+ PartitiveAttribute+ Figure 1: A fraction of the Galen role hierarchy node x0, called the root node, with L(x0) = fDg. T is then expanded by repeatedly applying the rules from Table1 until either the root node is marked satis able or none of the rules is applicable. If the root node is marked satis able then the algorithm returns satis able; otherwise it returns unsatis able.... ..."
Cited by 12

Table 1: Tableau expansion rules for ALCHR+ Spring Symposium (AAAI apos;97). AAAI Press, Menlo Park, California, 1997. To appear. [Sat95] U. Sattler. A concept language for engineer- ing applications with part{whole relations. In Proceedings of the International Conference on Description Logics|DL apos;95, pages 119{ 123, Roma, Italy, 1995.

in Description Logics with Transitive Roles
by Ian Horrocks Graham, Graham Gough 1997
"... In PAGE 3: ...isMadeOf + hasLayer+ ProcessPartitiveAttribute StructuralPartitiveAttribute+ hasSubprocess+ PartitiveAttribute+ Figure 1: A fraction of the Galen role hierarchy node x0, called the root node, with L(x0) = fDg. T is then expanded by repeatedly applying the rules from Table1 until either the root node is marked satis able or none of the rules is applicable. If the root node is marked satis able then the algorithm returns satis able; otherwise it returns unsatis able.... ..."
Cited by 12

Table 15: Data for Multitasking Traces on 32K Caches 1982. [10] Kimming So and Rudolph N. Rechtscha en, \Cache Operations by MRU-Change, quot; in Pro- ceedings of the IEEE International Conference on Computer Design: VLSI in Computers, Port Chester, New York, pp. 584{586, October 6{9, 1986.

in A Unified Framework for Hybrid Access Cache Design and Its Applications
by Kevin B. Theobald, Herbert H. J. Humy, Guang R. Gao 1993
Cited by 1

Table 10: Coe cients and Bounds for fth order stencils References [1] Robert Bruce Bauer. An e cient adaptive grid ENO algorithm. Houston Journal of Mathematics, pages 329{346, 1996. Proceeding of the Third International Conference on Spectral and High Order Methods (ICOSAHOM `95). [2] Marsha J. Berger. On conservation at grid interfaces. SIAM J. Num. Anal,

in A Hybrid Adaptive ENO Scheme
by Robert Bruce Bauer, Dr. Bauer

Table 1: Unoptimized/Optimized Execution times in msec (Speedups are shown in parenthesis) [7] M. V. Hermenegildo. An Abstract Machine Based Execution Model for Computer Architecture Design and E cient Implementation of Logic Programs in Parallel. PhD thesis, U. of Texas at Austin, August 1986. [8] K. Muthukumar and M. Hermenegildo. Combined Determination of Sharing and Freeness of Program Variables Through Abstract Interpretation. In 1991 International Conference on Logic Programming. MIT Press, June 1991. [9] Swedish Institute of Computer Science. Industrial Sicstus Prolog Internals Manual, 1989.

in ACE: A High-Performance Parallel Prolog System
by Enrico Pontelli, Manuel Hermenegildo, Gopal Gupta 1995
"... In PAGE 11: ... The results for the following benchmarks are initially reported: Matrix Multiplication, Quicksort, Takeuchi, Tower of Hanoi, Boyer (a reduced version of the Boyer-Moore theorem prover), Compiler (the Aquar- ius Prolog compiler from UC Berkeley that is approxi- mately 2,200 lines of Prolog code), Poccur (A list pro- cessing program), BT cluster (A clustering program from British Telecom, UK), Annotator (the annotator part of the amp;-Prolog parallelizing compiler that is about 1,000 lines) and, Simulator (a simulator for simulating parallel Prolog execution that is about 1,100 lines). Table1 indicates, for each benchmark, the execu- tion time (in ms.) and the speed-up obtained.... In PAGE 11: ... The speed-up gures are with respect to the optimized execution. Table1 illustrates the speedups obtained for the var- ious benchmarks. The gures clearly indicate that the current implementation, even though not completely op- timized, is quite e ective.... In PAGE 11: ... These optimizations yield, depending on the program, an improvement of 5% to 25% over the unoptimized version. Some improve- ment data is shown in Table1 (each entry in Table 1 shows the time in milliseconds before the optimization and after the optimization; the number in parenthesis gives the speed-up obtained; for compiler and simulator benchmarks the unoptimized gure is not shown). As is obvious, improvements due to optimization can be sub- stantial; in some cases superlinear speedup is obtained.... ..."
Cited by 42

TABLE 4. ADDITIONAL CUP BURNER EXTINGUISHMENT CONCENTRATIONS

in Cup-Burner Flame Extinguishment Concentrations
by Center For Global

Table 6.0.2: Recognition rates of the Kritzel System on di erent criteria The table shows that the system always determines the correct shape class. The screen process, which reduces the shape class to a small list of candidates, causes an average 4% error. The average performance at the top 1 choice is 81.3%. In the experiment of the top three choices, the average performance is improved to 91.7%. However, the average recognition rate of the top ve choice is 92.5% which does not improve much on the top 3 choices. References Bengio, Y., and Cun, Y. L. (1994), Word Normalization for On-Line Handwrit- ing Word Recognition, Proceedings of 12th IAPR International Conference on 22

in A Rapidly Learning Interpretation System for On-line Cursive Handwriting
by G. Qian, K. Truemper
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