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Web Page Prediction Based on Conditional Random Fields * Presenter 1. The University of Melbourne Yong Zhen Guo 1 * , Yuan Miao 1 Web page prefetching is used to reduce the access latency on the Internet. However, if most prefetched Web pages are not visited by the users in their subsequent accesses, the limited network bandwidth and server resources will not be used efficiently and may even worsen the access delay problem. Therefore, enhancing the Web page prediction accuracy is a key issue of Web page prefetching. In this talk, a Web page prediction method based on the powerful sequential learning model, Conditional Random Fields (CRFs), is proposed to improve the Web prediction accuracy. We also show how to scale the CRF-based Web prediction method to large-size websites by using the ECOC (Error Correcting Output Coding) technique. Moreover, because the limited class information provided to the binarylabel sub-classifiers in ECOCCRFs will also lead to inferior accuracy when compared to the multi-label CRFs, in this talk, we introduce the grouping method which allows us to obtain a prediction accuracy closer to that of multi-label CRFs while maintaining the advantage of ECOC-CRFs. The experimental results show that the Web prediction method based on the grouped ECOC-CRFs is highly accurate and scalable, and is ready for use in large-scale websites to perform predictions. 74
Provenancing Qualifications Using MEASUR within Higher Education Institutions: An Australian Case Xiaochen Li 1 * , Bruce Calway 1 , and Suku Sinnappan 1 * Presenter 1. Swinburne University of Technology Individuals move across educational institutions, learning modes and borders for further study and employment purpose. Properly provenanced learning credentials can be carried across institutes and borders and be recognised, thus facilitate individuals’ mobility. Provenance is the origin or source from which an item comes, and the history of subsequent owners or proof of authenticity. Provenance data has been collected and used in areas such as online learning, social networks, and e-science research for a range of uses. This workinprogress paper models the existing workflows adopted by higher education institutions on assessing qualifications using MEASUR method. The workflow model has implications on the collection of provenance data of learning credentials for authentication and verification purpose. 75
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The 3 rd VACPS Research Workshop Pr
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Organizing Committee Victorian Asso
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Preface On the occasion of the publ
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Paper as a low-cost base material f
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Acknowledgements We gratefully ackn
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Career planning and Job Interview i
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The role of mitochondria in atrial
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Track-Before-Detect Procedures for
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3. Dynamic model for approaching ta
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⎧π0 if j = i and Cx ij k > δij
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k k k k ( ) p( p Ζ | X , B = ∏ z
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As illustrated in Fig.4, the struct
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( xˆ , m ˆ ) = argmax Γ ( x , m
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(a) (b) Fig. 7. mesh plot of the re
Page 32 and 33: Definition 2 The probability of tar
Page 34 and 35: Acknowledgments Xiaobo Deng would l
Page 36 and 37: speed, several methods can be utili
Page 38 and 39: Where u ′ , v′ ) is the point p
Page 40 and 41: ase on SIFT are also unsuitable to
Page 42 and 43: Demonstration and Performance Analy
Page 45 and 46: Effect of mini-tyrosl-tRNA syntheta
Page 47 and 48: 2.1 Materials Sprague-Dauley(SD) ma
Page 49 and 50: Fig. 2. The representative photomic
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Page 53 and 54: 3.4.The mRNA expression of mini-Tyr
Page 55 and 56: 9.Du XJ, Gao X, Ramsey D. Surgical
Page 57 and 58: Distribution of three forms alpha-m
Page 59 and 60: Materials and Methods Ethics All an
Page 61 and 62: Fig.1 (A) Mass Spectrometry results
Page 63 and 64: indicated that there is more des-α
Page 65 and 66: Fig.6 (A) Mass Spectrometry results
Page 67 and 68: transcription-polymerase chain reac
Page 69 and 70: Investigation of the mechanism of t
Page 71 and 72: Dual mode roll-up effect in a multi
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Page 76 and 77: cloud computing offers a cost-effec
Page 78 and 79: workflows. By comparing the generat
Page 80 and 81: [10] E. Deelman, G. Singh, M. Livny
Page 84 and 85: A Multi-modal Gesture Recognition S
Page 86: Searching for Fair Joint Gains in A
Page 89 and 90: environments. However, challenges a
Page 91 and 92: conclude that the hydrophobic PHB c
Page 93 and 94: Figure 4. (a) Energy transfer model
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Page 97 and 98: (22) (a) Cho, J.; Quinn, J. F.; Car
Page 99 and 100: Grain refinement of pure magnesium
Page 101 and 102: Fig. 3 The optical and SEM microstr
Page 103 and 104: Conclusions (1) The large grains in
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Page 107 and 108: Figure 1. Г×Re[fCM] vs. frequency
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Page 123 and 124: References: [1] Xiong Liu, Mark C.
Page 125 and 126: new tissue[10]. Most of these human
Page 127 and 128: 2.8 Viability and morphology study
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Fig 10 Tensile Stress curve of elec
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well as on a usual nanofibrous scaf
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Uniform Coating of WO x on TiO 2 Na
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Union as a Social Regulator of Mark
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associated with a reinvention of in
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enterprises…There obviously is no
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Union assistants participate in org
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[5] Deyo, Frederic C and Ağartan,
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Organizational Capabilities • Lea
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Table 1. Correlations, Reliabilitie
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[18]. Jap, S. D. (1999). Pie-expans
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Early Childhood Education Matters:
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decisions on selection of child car
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Noble, K. (2007). Parent choice of
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An Exploration of Country of Origin
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Supercontinuum generation for fiber
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Gas chromatographic retention indic
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Outward Foreign Direct Investment f
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Fiber Nonlinearity Precompensation
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Improved Nonlinearity precompensati
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