Proceedings of the second international workshop on Mobility management & wireless access protocols
Bibliographic record
Abstract
We are delighted to welcome you to Philadelphia for the 2004 ACM International Workshop on Mobility Management and Wireless Access (MobiWAC 2004). With the advent of wireless and mobile devices, wireless communication technology is enjoying its fastest growth period in history, and this is likely to continue in the near future, while affecting the way we live and work. Yet, mobility and wireless device access are still in their early stage of development. This workshop was created to highlight two of the important challenges in realizing the dream of anytime, anywhere communication and computing, i.e., mobility management and wireless access. This MobiCom workshop follows the successful first MobiWac Workshop that was held in Forth Worth, TX last year.The workshop program proudly presented to you consists of an impressive set of high quality technical papers and posters. Also featured is a high-profile keynote address from Prof. Sajal Das of the University of Texas, a distinguished and well known researcher who has made significant contributions to wireless networking. We do hope that you will find the presentations useful to your own research and lead to further innovations in this field.The success of this workshop required significant effort and dedication on the part of many people. We greatly appreciate the tireless and diligent efforts of Prof. Sotiris Nikoletseas, the Program Committee Chair, who put together an excellent technical program especially given the short review turnaround time. We are indebted to the members of the Technical Program Committee who were remarkable in completing reviews in a timely manner, especially given the short review time. We are also thankful to our publicity chair, Mirela Sechi Moretti Annoni Notare, for persistently advertising this event in several ways that gained us significant visibility in the research community. We extend our greatest gratitude to our sponsor ACM SIGMOBILE, MobiCom 2004 Organizing committee and to the ACM Staff for all their support.Most of all, we would like to thank all of you, the attendees, for supporting this workshop. We encourage you to interactively participate in this workshop and avail of the numerous networking opportunities. We also hope that you have had or will find the time to explore this historical city of Philadelphia, one-time national capital. Finally, we solicit your continued support in the future and welcome your valuable feedback and comments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.056 | 0.035 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".