{"id":"https://openalex.org/W2186962476","doi":null,"title":"Using dierent cost functions when pre-training stacked auto-encoders","display_name":"Using dierent cost functions when pre-training stacked auto-encoders","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2186962476","mag":"2186962476"},"language":"en","primary_location":{"id":"mag:2186962476","doi":null,"is_oa":false,"landing_page_url":"http://di.ubi.pt/~lfbaa/pubs/tec_rep3.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103552829","display_name":"Telmo Amaral","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Telmo Amaral","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009791474","display_name":"Lu\u00eds A. Alexandre","orcid":"https://orcid.org/0000-0002-5133-5025","observed_orcids":["https://orcid.org/0000-0002-5133-5025"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu\u0131\u0301s A. Alexandre","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5133-5025","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068291255","display_name":"Lu\u00eds M. Silva","orcid":"https://orcid.org/0000-0001-9677-4315","observed_orcids":["https://orcid.org/0000-0001-9677-4315"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu\u00eds M. Silva","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9677-4315","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.00559999980032444,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stacked-autoencoder","display_name":"stacked autoencoder","score":0.8930000066757202},{"id":"https://openalex.org/keywords/pretraining","display_name":"pre-training","score":0.8849999904632568},{"id":"https://openalex.org/keywords/cost-function","display_name":"cost function","score":0.9879999756813049},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.7269999980926514},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.4569999873638153}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6665825843811035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5155903697013855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4070891737937927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35838860273361206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33371442556381226},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16064950823783875},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.115273118019104}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2186962476","doi":null,"is_oa":false,"landing_page_url":"http://di.ubi.pt/~lfbaa/pubs/tec_rep3.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1994197834","https://openalex.org/W2017257315","https://openalex.org/W2025768430","https://openalex.org/W2072128103","https://openalex.org/W2110798204","https://openalex.org/W2112796928","https://openalex.org/W2136922672","https://openalex.org/W2398338688"],"related_works":["https://openalex.org/W7100221546","https://openalex.org/W1993799640","https://openalex.org/W7116307675","https://openalex.org/W3082043969","https://openalex.org/W7107948146","https://openalex.org/W7099759913","https://openalex.org/W2555261986","https://openalex.org/W2948559147","https://openalex.org/W3107973756","https://openalex.org/W2553470364"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}