{"doi":"10.1109/icfcc.2010.5497471","title":"A new semi-supervised support vector machine learning algorithm based on active learning","abstract":null,"journal":"2010 2nd International Conference on Future Computer and Communication","year":2010,"id":588441,"datarank":1.9480042772214112,"base_score":2.995732273553991,"endowment":2.995732273553991,"self_citation_contribution":0.4493598410330987,"citation_network_contribution":1.4986444361883124,"self_endowment_contribution":0.4493598410330987,"citer_contribution":1.4986444361883124,"corpus_percentile":null,"corpus_rank":null,"citation_count":19,"citer_count":19,"citers_with_citation_signal":17,"citers_with_endowment":17,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1505430,"name":"Wu Chenggang","orcid":null,"position":1,"is_corresponding":false},{"id":1505429,"name":"Li Cunhe","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A new semi-supervised support vector machine learning algorithm based on active learning","abstract":"Semi-supervised support vector machine is an extension of standard support vector machine in machine learning problem in real life. However, the existing semi-supervised support vector machine algorithm has some drawbacks such as slower training speed, lower accuracy, etc. This paper presents a semi-supervised support vector machine learning algorithm based on active learning, which trains early learner by a spot of labeled-data, selects the best training samples for training and learning by active learning and reduces learning cost by deleting non- support vector. Simulative experiments have shown that the algorithm may get good learning effect at less learning cost.","is_dataset_classified":null,"base_score":2.995732273553991,"endowment":2.995732273553991,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"26657633","pmcid":null,"openalex_id":"https://openalex.org/W1986633584","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[{"year":2013,"count":1},{"year":2015,"count":3},{"year":2016,"count":1},{"year":2018,"count":1},{"year":2019,"count":1},{"year":2020,"count":4},{"year":2021,"count":2},{"year":2022,"count":3},{"year":2023,"count":2},{"year":2024,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx5/5487607/5497281/05497471.pdf?arnumber=5497471","host_type":"publisher"},{"url":"https://doi.org/10.1109/icfcc.2010.5497471","host_type":""}],"fields_of_study":["Advanced Algorithms and Applications","Advanced Computational Techniques and Applications","Advanced Sensor and Control Systems","Computer Science"],"mesh_terms":[],"keywords":["Semi-supervised learning","Active learning (machine learning)","Online machine learning","Machine learning","Computer science","Support vector machine","Artificial intelligence","Relevance vector machine","Structured support vector machine","Computational learning theory","Algorithm","Wake-sleep algorithm","Instance-based learning","Unsupervised learning","Extension (predicate logic)","Supervised learning","Co-training","Generalization error","Artificial neural network"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-20T21:55:27.279895Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}