Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems
Bibliographic record
Abstract
We welcome you to CASES 2006 -- The IEEE International Conference on Compilers, Architecture, and Synthesis for Embedded Systems. CASES has established itself as a leading forum for research in computer architectures for embedded computing.This year, the program committee received 100 submissions; of those, 41 were accepted for presentation at the conference and publication in this proceedings. The submitted papers came from around the world: 3 from Taiwan, 4 from India, 1 from Brazil, 5 from China, 1 from Austria, 4 from Sweden, 1 from Belgium, 1 from Portugal, 1 from Italy, 1 from Canada, 2 from Australia, 2 from Singapore, 6 from the Netherlands, 1 from Ireland, 5 from France, 1 from Spain, 4 from Japan, 8 from Germany, 8 from Korea, 3 from the United Kingdom, and the rest from the USA. We would like to thank all the contributors for their submissions.This year, CASES is co-located with Embedded Systems Week, which is being held in Seoul, Korea in October, 2006. Embedded Systems Week was established last year as an umbrella organization for the co-location of embedded systems conferences. Last year, CODES+ISSS and EMSOFT formed Embedded Systems Week along with their satellite conferences. This year, CASES joins EMSOFT and CODES+ISSS. This event proved to be very exciting for attendees last year and we expect that the addition of CASES will make this year's ES Week even more useful and interesting. We would like to the Embedded Systems Week steering committee for their help and support.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.076 | 0.032 |
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".