NETWORK-BASED BUSINESS MODELS

spanned volumesAbility to reduce drive designations (mount drives)Indexing for fast accessAbility to retain shortcuts and other file information when files are transferred between volumesAbility to set disk quotasCDFS and UDFCDFS and UDFCDFS and UDFWindows 2000 supports CDFS and UDFCompact disk file[r]

mation in modeling the translation of phrases as awhole. More precise translation can be determinedfor phrases than for words. It is thus reasonable toexpect that using such phrase translation probabili-ties as ranking features is likely to improve the ques-tion retrieval performance, as we will sho[r]

node. But this may lead to congestion situations. Non-minimal routing algorithmsdo not always use paths with minimum length if this is necessary to avoid congestionat intermediate nodes.A further classification can be made by distinguishing deterministic routingalgorithms and adaptive routing algorit[r]

node. But this may lead to congestion situations. Non-minimal routing algorithmsdo not always use paths with minimum length if this is necessary to avoid congestionat intermediate nodes.A further classification can be made by distinguishing deterministic routingalgorithms and adaptive routing algorit[r]

Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 137–140,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPSub-Sentence Division for Tree-Based Machine Translation Hao Xiong*, Wenwen Xu+, Haitao Mi*, Yang Liu* and Qun Liu* *Key Lab. of Intelligent Information Processing +[r]

harvest the benefit of their use. Little effort would be spent onimprovement as their usefulness must be milked for all it is worthbefore they are superseded.A non-standard accounting system (‘dog’)This system has no particular value at present. It was put into use at onelocation just to see how it w[r]

(audit) expectations on purpose to name inadequacies of expectations of auditors andaudit information users.2. to distinguish advantages and disadvantages of risk models in the contextof financial audit;3. to formulate knowledge management and learning strategies that might beadapted in field[r]

tem, besides exploiting a rich set of features , employessome deep knowledge resources and techniques suchas biomedical databases (SwissProt and LocusLink)and a number of post-processing opera tio ns consistingof different heuristic rules in order to correct entityboundaries.Summarizing the obtained[r]

Laboratory for Computer Vision, Department of Computer Science, University of Calgary [14] Alexandra Boldyreva, “Efficient threshold signature, multi-signature and blind signature schemes based on the Gap-Diffie-Hellman-group signature scheme”, Dept. of Computer Science & Engineering,[r]

therefore are highly suited to modeling global aspects ofhandwritten signatures.Concentrated efforts at applying NNs to HSV have beenundertaken for over a decade with varying degrees ofsuccess (e.g., see [9], [16]). The main attractions include:1) Expressiveness: NNs are an attribute-based re[r]

faces in Figure 2B, in which one face partially oc-cludes another.The implementation of these two heuristicsis as fol-lows. Each detection by the network at a particularlocation and scale is marked in an image pyramid,labelled the “output” pyramid. Then, each locationin the pyramid is replace[r]

publishers on a cost-per-thousand basis. Scott Howe, former GM for DRIVEpm and now VP for the Microsoft Advertising business unit, wrote a great article back in 2005 about some of the dynamics in a performance network from the perspective of a media buyer looking to get the best ROI. W[r]

standard password-based mechanisms forlogging into servers is completely vulnerable toattacks that gain root access on the server usingsome subtle interactions between commonprotocols. We believe that any securityinfrastructure should be consistent all the wayfrom the bottom up to the applica[r]

other. Hosts do not generally exchange any signalling information with routers. All thathosts need to know (normally by static configuration) is the address of the router on theirlocal sub-net. Hosts can forward any non-local traffic for hosts on other networks to thisdefault router or default gateway[r]

and a decoder. For a system which translates froma foreign languageto English , the LM givesa prior probability P and the TM gives a chan-nel translation probability P . These modelsare automatically trained using monolingual (for theLM) and bilingual (for the TM) corpora. A decoderthen finds the bes[r]

Chapter 8 Network optimization models, after completing this chapter, you should be able to: State why network models are important tools for problem solving, describe the kinds of problems that can be solved using the shortest-route algorithm and use the algorithm to solve typical shortest-route pr[r]

impact of all paths by their relative timing criticalities.To perform netweighting for unplaced designs, STA can use the wire load model, e.g., b asedon fanout, to estimate the delay (compared to placed designs, STA can use the actual wire loadto compute delay). Normally, it is not accurate with wir[r]

tion at different levels of granularity, we flattenedthe subtopic structure and consider only two levelsof segmentation–top-level topics and all subtopics.To establish reliability of our annotation proce-dure, we calculated kappa statistics between theannotations of each pair of coders. Our analy-sis[r]

Every Level. New York: HarperCollins, 1997.Ulrich, D., Zenger, J., and Smallwood, N. Results-Based Leadership: How LeadersBuild the Business and Improve the Bottom Line. Boston: HarvardBusiness School Press, 1999.Useem, M. The Leadership Moment: Nine True Stories of Triumph and Disaste[r]

non-face image, the detector network will still not detect a face. On the other hand, a rotated face,which would not have been detected by the detector network alone, will be rotated to an uprightposition, and subsequently detected as a face. Because the detector network is only[r]