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Sample search results for: abacc

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1 Non-redundant random generation from weighted context-free languages
 

Summary:  S abaabSbS abaccSbS abacbS ababaSbS ababcS abcacSbS abcabS abccaSbS abcccS caacbSbS caabcSbS caabbS cacab... tree a) Generation 40 20 24 b) Weights update F S6 aS0bS4 abcS3 abS4 abaccbS0 abaccS0bS0 abcccS1 abccS2... abaccS0bS0 abaccb abaccbS0 abaS2bS0 abacS1bS0 abcS3 abcacbS0 abcacS0bS0 abcaS1bS0 abcccc abS4 aS0bS4 S6

  

Source: Ecole Polytechnique, Centre de mathématiques

 

Collection: Mathematics

 
2 Combining Measurements with Three-Dimensional Laser Scanning System and Coded-Aperture Gamma-Ray Imaging Systems for International Safeguards Applications
 

Summary:  safeguarded by the Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials (ABACC) is also... was performed in support of two ongoing collaboration projects between DOE and ABACC and between DOE

  

Source: Oak Ridge National Laboratory, Engineering Science and Technology Division, Image Science and Machine Vision Group

 

Collection: Engineering

 
3 Non-redundant random generation algorithms for weighted context-free languages
 

Summary:  S0 abaaS0bS0bS0 abaccS0bS0 abaccbS0 abaccb abaabS0bS0 abaabbS0 abaabb acS0bS3 acbS3 acbcS2 acbaS0bS1... abccS2 abaccS0bS0 abaccbS0 abaS2bS0 abacS1bS0 abcS3 abcacbS0 abcacS0bS0 abcaS1bS0 abS4 aS0bS4 S6 aS0bS4... abcccS1 abccccS0 abccS2 abS4 abaccS0bS0 abaccbS0 abaS2bS0 abacS1bS0 abcacbS0 abcS3 abcaS1bS0 abcacS0bS0

  

Source: Ecole Polytechnique, Centre de mathématiques

 

Collection: Mathematics

 
4 Mining Web Access Patterns with First-Occurrence Linked WAP-Trees Peiyi Tang Markus P. Turkia Kyle A. Gallivan
 

Summary:  . We use the same running example of the database as in [1, 2]: D = {abac, abcac, babac, abacc... represented by the path from the root node to b:3. These sequences are abac, abcac and abacc. Therefore

  

Source: Tang, Peiyi - Department of Computer Science, University of Arkansas at Little Rock

 

Collection: Computer Technologies and Information Sciences

 
5 Mining Frequent Sequential Patterns with First-Occurrence Erich A. Peterson
 

Summary:  -tree of the example database D = {abac, abcac, babac, abacc} from [2, 5]. In this paper, the aggregate tree... , abcac and abacc. Therefore, the sum of the counts of all the first- occurrences of a symbol

  

Source: Tang, Peiyi - Department of Computer Science, University of Arkansas at Little Rock

 

Collection: Computer Technologies and Information Sciences

 
6 Mining Web Sequential Patterns Incrementally with Revised PLWAP Tree
 

Summary:  aebcace abcac 300 baba baba 400 afbacfc abacc 500 abegfh ab sites visited), the association rule rule a b... subsequences, e.g., abacc, afb are some subsequences of the sequence afbacfc. Frequent sequences are those

  

Source: Ezeife, Christie - School of Computer Science, University of Windsor

 

Collection: Computer Technologies and Information Sciences

 
7 Mining Frequent Web Access Patterns with Partial Enumeration
 

Summary:  , abcac, babac,abacc} (with FLWAP­tree shown Figure Each sequence database represented by a path from

  

Source: Tang, Peiyi - Department of Computer Science, University of Arkansas at Little Rock

 

Collection: Computer Technologies and Information Sciences

 
8 Mining Frequent Web Access Patterns with Partial Enumeration
 

Summary:  , babac,abacc} (with = {a, b, c}), its FLWAP-tree is shown in Figure 6(a). Each web sequence

  

Source: Tang, Peiyi - Department of Computer Science, University of Arkansas at Little Rock

 

Collection: Computer Technologies and Information Sciences

 
9 Data Mining and Knowledge Discovery, 10, 538, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
 

Summary:  100 abdac abac 200 eaebcac abcac 300 babfaec babac 400 afbacfc abacc in a prefix tree format similar... child of b node. The third sequence babac of ID 300 and the fourth sequence abacc are inserted next

  

Source: Ezeife, Christie - School of Computer Science, University of Windsor

 

Collection: Computer Technologies and Information Sciences

 
10 Incremental Mining of Web Sequential Patterns Using PLWAP Tree on Tolerance MinSupport
 

Summary:  % with t = 0.6s 100 abdac abac abac 200 aebcace abcac aebcace 300 baba baba baba 400 afbacfc abacc afbacfc 500

  

Source: Ezeife, Christie - School of Computer Science, University of Windsor

 

Collection: Computer Technologies and Information Sciences

 
11 ccsd-00023235,version1-21Apr2006 Journal de Theorie des Nombres de Bordeaux 00 (XXXX), 000000
 

Summary:  , x (1) 8 ) and q1 = q5. This clearly implies that the sequence is ultimately periodic, w1w2 · · · = a(bacc

  

Source: Ecole Polytechnique, Centre de mathématiques

 

Collection: Mathematics

 
12 Journal de Theorie des Nombres de Bordeaux 00 (XXXX), 000000
 

Summary:  , x (1) 8 ) and q1 = q5. This clearly implies that the sequence is ultimately periodic, w1w2 · · · = a(bacc

  

Source: Fondements et Applications, Université Denis Diderot Paris 7

 

Collection: Mathematics

 
13 Mining Very Long Sequences in Large Databases with C.I. Ezeife
 

Summary:  Sequences (Seq list) 100 abdac abac 200 eaebcac abcac 300 babfaec babac 400 afbacfc abacc all subsequences

  

Source: Ezeife, Christie - School of Computer Science, University of Windsor

 

Collection: Computer Technologies and Information Sciences

 
14 %&'( %) 01234556 7 8 ) 926536(' @6(4336 A B4C14 B6DD6E F GHIPQRSTIUQH
 

Summary:  B6DD6E F GHIPQRSTIUQH VW XY`abacc dceffag`Yh hiffpWYhdgYiWq r`idshdcgYWt Yc dW auhYaWg Xde iv c... v`if d tYyaW cag iya` d XY`abacc hdWWabq XYba hbYaWgc dccYyabe bYcgaW gi ga cd`as hdWWab XdYgYWt vi... ` `ayYaXc ga Xi` iv ¹q q £ iW ga r`idshdcgYWt `irbaf iv Q sdgd Ygafc iya` ¥ XY`abacc hdWWabcq pWsa` ga

  

Source: Pinotti, Maria Cristina - Dipartimento di Matematica e Informatica, Università di Perugia

 

Collection: Mathematics

 
15 PLWAP Sequential Mining: Open Source Code C.I. Ezeife
 

Summary:  abac 200 eaebcac abcac 300 babfaec babac 400 afbacfc abacc Figure 1: Construction of the Original WAP

  

Source: Ezeife, Christie - School of Computer Science, University of Windsor

 

Collection: Computer Technologies and Information Sciences

 
16 Dynamics and Topographic Organization of Recursive Self-Organizing Maps
 

Summary:  bdd bcd bcdcc abacc bcc bddc abddc aabdd bddcc aaccc acc aaacc bc aabad bccc aaccc aabac caabc aabbd... bcdcc bddcc abcdc bbcdc bddc aaccc dccc bbdcc aaacc caacc ccc bccc badcc abadc abbdc aabcd abbcd abacc

  

Source: Tino, Peter - School of Computer Science, University of Birmingham

 

Collection: Computer Technologies and Information Sciences

 
17 Georgia Institute of Technology Nonproliferation and the
 

Summary:  bdd bcd bcdcc abacc bcc bddc abddc aabdd bddcc aaccc acc aaacc bc aabad bccc aaccc aabac caabc aabbd... bcdcc bddcc abcdc bbcdc bddc aaccc dccc bbdcc aaacc caacc ccc bccc badcc abadc abbdc aabcd abbcd abacc

  

Source: Li, Mo - School of Materials Science and Engineering, Georgia Institute of Technology

 

Collection: Materials Science

 
18 stewardship in a nuclear renaissance
 

Summary:  bdd bcd bcdcc abacc bcc bddc abddc aabdd bddcc aaccc acc aaacc bc aabad bccc aaccc aabac caabc aabbd... bcdcc bddcc abcdc bbcdc bddc aaccc dccc bbdcc aaacc caacc ccc bccc badcc abadc abbdc aabcd abbcd abacc

  

Source: Rambaut, Andrew - School of Biological Sciences, University of Edinburgh

 

Collection: Biology and Medicine

 
19 Information Theory/ Data Compression Jurgen Bierbrauer
 

Summary:  bdd bcd bcdcc abacc bcc bddc abddc aabdd bddcc aaccc acc aaacc bc aabad bccc aaccc aabac caabc aabbd... bcdcc bddcc abcdc bbcdc bddc aaccc dccc bbdcc aaacc caacc ccc bccc badcc abadc abbdc aabcd abbcd abacc

  

Source: Bierbrauer, Juergen - Department of Mathematical Sciences, Michigan Technological University

 

Collection: Mathematics

 
20 Alternating TwoWay ACTree Automata # Kumar Neeraj Verma 1,#
 

Summary:  bdd bcd bcdcc abacc bcc bddc abddc aabdd bddcc aaccc acc aaacc bc aabad bccc aaccc aabac caabc aabbd... bcdcc bddcc abcdc bbcdc bddc aaccc dccc bbdcc aaacc caacc ccc bccc badcc abadc abbdc aabcd abbcd abacc

  

Source: Ecoles Normales Supérieures de Cachan, Laboratoire Spécification et Vérification

 

Collection: Computer Technologies and Information Sciences


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21 Alternating Two-Way AC-Tree Automata Kumar Neeraj Verma 1,
 

Summary:  bdd bcd bcdcc abacc bcc bddc abddc aabdd bddcc aaccc acc aaacc bc aabad bccc aaccc aabac caabc aabbd... bcdcc bddcc abcdc bbcdc bddc aaccc dccc bbdcc aaacc caacc ccc bccc badcc abadc abbdc aabcd abbcd abacc

  

Source: Ecoles Normales Supérieures de Cachan, Laboratoire Spécification et Vérification

 

Collection: Computer Technologies and Information Sciences

 
22 Data Min Knowl Disc DOI 10.1007/s10618-009-0133-6
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Ezeife, Christie - School of Computer Science, University of Windsor

 

Collection: Computer Technologies and Information Sciences

 
23 Modal Decision Problems Frank Wolter
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Zakharyaschev, Michael - School of Computer Science and Information Systems, Birkbeck College, University of London

 

Collection: Mathematics ; Computer Technologies and Information Sciences

 
24 and Development Programme for Nuclear Verification
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Brookhaven National Laboratory, Environmental Chemistry Division, Department of Applied Science; Ohta, Shigemi - Theory Group, Institute of Particle and Nuclear Studies, High Energy Accelerator Research Organization (KEK)

 

Collection: Environmental Sciences and Ecology ; Physics

 
25 THE IMPACT OF PROGRAMMING STYLE ON THE PERFORMANCE OF SCHEME PROGRAMS
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Indiana University, Computer Science Department

 

Collection: Computer Technologies and Information Sciences

 
26 niversit toseph pourier ! qrenole s Le graphe comme outil
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Ecole Polytechnique, Centre de mathématiques

 

Collection: Mathematics

 
27 DRED -27 rue Marcoz -BP 1104 73011 CHAMBERY CEDEX
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Ecole Polytechnique, Centre de mathématiques

 

Collection: Mathematics

 
28 M. ZAKHARYASCHEV, F. WOLTER, AND A. CHAGROV ADVANCED MODAL LOGIC
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Zakharyaschev, Michael - School of Computer Science and Information Systems, Birkbeck College, University of London

 

Collection: Mathematics ; Computer Technologies and Information Sciences

 
29 M. ZAKHARYASCHEV, F. WOLTER, AND A. CHAGROV ADVANCED MODAL LOGIC
 

Summary:  abacc afbacfc 500 abegfh ab abef 123 #12;C. I. Ezeife, Y. Liu that continuously grow. Each transaction

  

Source: Wolter, Frank - Department of Computer Science, University of Liverpool

 

Collection: Computer Technologies and Information Sciences

 
30 UNIVERSIT RENNES 2 UNIVERSITY COLLEGE CORK HAUTE BRETAGNE Department of Early and Medieval Irish
 

Summary:  , dord, abacc, ech, fo-cain, crónán de la version électronique du DIL Boekhoorn, Dimitri Nikolai

  

Source: Ecole Polytechnique, Centre de mathématiques

 

Collection: Mathematics

 
31 February 2010 Office of Chief Financial Officer Volume 1 DOE/CF-0047
 

Summary:  , dord, abacc, ech, fo-cain, crónán de la version électronique du DIL Boekhoorn, Dimitri Nikolai

  

Source: Fusiongnition Research Experiment (FIRE)

 

Collection: Plasma Physics and Fusion

 
32 DOE/CF-0057 Department of Energy
 

Summary:  , dord, abacc, ech, fo-cain, crónán de la version électronique du DIL Boekhoorn, Dimitri Nikolai

  

Source: Fusiongnition Research Experiment (FIRE)

 

Collection: Plasma Physics and Fusion


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