{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/activity-prediction/papers/2","list_of":"/task/activity-prediction","task":"Activity Prediction","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,106],"of":106,"counts":{"archive_papers_tagged":106,"with_a_code_link":33,"where_syntology_ran_a_sample":5,"not_listed_spam_title":0,"listed":106,"listed_where_code_ran":5,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":5,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":5,"listed_every_run_a_failure_of_syntologys_instrument":0,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/activity-prediction","prev":"/task/activity-prediction","next":null,"papers":[{"url":null,"slug":"macau-scalable-bayesian-multi-relational","title":"Macau: Scalable Bayesian Multi-relational Factorization with Side Information using MCMC","date":"2015-09-15","arxiv_id":"1509.04610","repositories_listed":0,"syntology":null},{"url":null,"slug":"multivariate-regression-with-calibration","title":"Multivariate Regression with Calibration","date":"2014-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multithreshold-entropy-linear-classifier","title":"Multithreshold Entropy Linear Classifier","date":"2014-08-04","arxiv_id":"1408.1054","repositories_listed":0,"syntology":null},{"url":null,"slug":"early-recognition-of-human-activities-from","title":"Early Recognition of Human Activities from First-Person Videos Using Onset Representations","date":"2014-06-20","arxiv_id":"1406.5309","repositories_listed":0,"syntology":null},{"url":null,"slug":"recognize-human-activities-from-partially","title":"Recognize Human Activities from Partially Observed Videos","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"calibrated-multivariate-regression-with","title":"Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery","date":"2013-05-10","arxiv_id":"1305.2238","repositories_listed":0,"syntology":null}],"record_sha256":"8376540c68a91ef0b0800822a7857ad3994efb143b95228634e082558f37f66b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}