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Record W2913835260

Proceedings of the 38th International Symposium on Symbolic and Algebraic Computation

2013· article· en· W2913835260 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicComputability, Logic, AI Algorithms
Canadian institutionsUniversity of WaterlooSimon Fraser University
Fundersnot available
KeywordsSymbolic computationComputer scienceSymbolic-numeric computationAlgebra over a fieldAlgebraic numberThe SymbolicSymbolic data analysisComputationGröbner basisSymbolic trajectory evaluationLinear algebraTheoretical computer scienceMathematicsAlgorithmPure mathematics
DOInot available

Abstract

fetched live from OpenAlex

The 2013 International Symposium on Symbolic and Algebraic Computation (ISSAC) is the premier conference for research in symbolic computation and computer algebra. ISSAC 2013, held at Northeastern University in Boston, USA, is the 38th meeting in the series, which began in 1966 with the seminal ACM Symposium on Symbolic and Algebraic Manipulation. ISSAC 2013 is fully sponsored by the Association for Computing Machinery and its Special Interest Group on Symbolic Manipulation (ACM SIGSAM). The ISSAC meeting is a showcase for original research contributions on all aspects of computer algebra and symbolic mathematical computation, including: Algorithmic aspects: Exact and symbolic linear, polynomial and differential algebra Symbolic-numeric, homotopy, perturbation and series methods Computational algebraic geometry, group theory and number theory Computer arithmetic Summation, recurrence equations, integration, solution of ODEs and PDEs Symbolic methods in other areas of pure and applied mathematics Complexity of algebraic algorithms and algebraic complexity Software aspects: Design of symbolic computation packages and systems Language design and type systems for symbolic computation Data representation Considerations for modern hardware Algorithm implementation and performance tuning Mathematical user interfaces Application aspects: Applications that stretch the current limits of computer algebra algorithms or systems, use computer algebra in new areas or new ways, or apply it in situations with broad impact. The ISSAC Program Committee adhered to the highest standards and practices in the evaluation of submitted papers, and we are very pleased with the quality of the papers appearing at the conference. All papers submitted to ISSAC were judged, and accepted or rejected, solely according to their scientific novelty and excellence. An average of more than 3.3 referee reports were obtained for each submission, and 47 papers were ultimately accepted for publication. Each submitted paper was assigned to two Program Committee members, but all members could and did actively participate in the evaluation of other papers. Strict conflict of interest rules were enforced, disallowing any access to the evaluation process of papers by institutional colleagues, recent co-authors, supervisors, students or under any other biasing circumstance. All papers for which broad agreement was not obtained were voted upon in a final and binding ballot. The Program Committee thanks all the authors of all submitted papers for considering ISSAC for their best work, and hopes that the high quality of the accepted papers validates their choice of venues and encourages submission to ISSAC in the future. ACM SIGSAM sponsors awards for Distinguished Papers and Distinguished Student Authors at every ISSAC, and these will be selected by a vote of the Program Committee. While the winners are not known at the time of this writing, the quality of the candidates ensures that these papers should have great merit and impact on our field. ISSAC features invited talks, contributed papers, tutorials, posters and software demonstrations. These Proceedings contain all accepted contributed papers, and abstracts of the invited talks and tutorials. Abstracts of posters and software demonstrations will appear in an upcoming issue of the ACM SIGSAM Communications in Computer Algebra. We are thrilled with the exceptional scientific stature of our invited presenters, and the high quality of all the contributed works, and thank everyone for their investment in ISSAC 2013.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.214
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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