{"id":"https://openalex.org/W2185156378","doi":"https://doi.org/10.1109/allerton.2015.7447150","title":"Quantile search: A distance-penalized active learning algorithm for spatial sampling","display_name":"Quantile search: A distance-penalized active learning algorithm for spatial sampling","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2185156378","doi":"https://doi.org/10.1109/allerton.2015.7447150","mag":"2185156378"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2015.7447150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2015.7447150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5090406760","display_name":"John Lipor","orcid":"https://orcid.org/0000-0002-0990-5493"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Lipor","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029521003","display_name":"Laura Balzano","orcid":"https://orcid.org/0000-0003-2914-123X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Balzano","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090429026","display_name":"Branko Kerkez","orcid":"https://orcid.org/0000-0002-8041-5366"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Branko Kerkez","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063437850","display_name":"Donald Scavia","orcid":"https://orcid.org/0000-0002-2784-8269"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Don Scavia","raw_affiliation_strings":["School of Natural Resources and Environment, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Resources and Environment, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1241","last_page":"1248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9754999876022339,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/quantile","display_name":"Quantile","score":0.7619378566741943},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7296279668807983},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6230400800704956},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6202483177185059},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.577427864074707},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.5717756748199463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.508780300617218},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4796184003353119},{"id":"https://openalex.org/keywords/binary-search-algorithm","display_name":"Binary search algorithm","score":0.43021559715270996},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4242151379585266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40753647685050964},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38656896352767944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3545681834220886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35142257809638977},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.3234573304653168},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2663237452507019},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.13793161511421204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09248092770576477}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.7619378566741943},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7296279668807983},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6230400800704956},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6202483177185059},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.577427864074707},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.5717756748199463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.508780300617218},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4796184003353119},{"id":"https://openalex.org/C121610932","wikidata":"https://www.wikidata.org/wiki/Q243754","display_name":"Binary search algorithm","level":3,"score":0.43021559715270996},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4242151379585266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40753647685050964},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38656896352767944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3545681834220886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35142257809638977},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.3234573304653168},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2663237452507019},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.13793161511421204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09248092770576477},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2015.7447150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2015.7447150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W55403181","https://openalex.org/W109556284","https://openalex.org/W1573735289","https://openalex.org/W1595255495","https://openalex.org/W1981401677","https://openalex.org/W2015394492","https://openalex.org/W2040877654","https://openalex.org/W2045086034","https://openalex.org/W2073216502","https://openalex.org/W2094365833","https://openalex.org/W2106447856","https://openalex.org/W2111790732","https://openalex.org/W2114232233","https://openalex.org/W2115404432","https://openalex.org/W2117756453","https://openalex.org/W2128518360","https://openalex.org/W2131052843","https://openalex.org/W2151596305","https://openalex.org/W2155642407","https://openalex.org/W2157958821","https://openalex.org/W2160828669","https://openalex.org/W2167503608","https://openalex.org/W2185156378","https://openalex.org/W2962859376","https://openalex.org/W3150873836","https://openalex.org/W4206795220","https://openalex.org/W6645717732","https://openalex.org/W6661768467","https://openalex.org/W6677246231","https://openalex.org/W6677585844","https://openalex.org/W6682291466","https://openalex.org/W7073710283"],"related_works":["https://openalex.org/W2582091787","https://openalex.org/W2998661990","https://openalex.org/W2811435312","https://openalex.org/W4213195198","https://openalex.org/W843542728","https://openalex.org/W2354443135","https://openalex.org/W3181093338","https://openalex.org/W2382626982","https://openalex.org/W4200565068","https://openalex.org/W1576773757"],"abstract_inverted_index":{"Adaptive":[0],"sampling":[1,36,104,131],"theory":[2],"has":[3],"shown":[4],"that,":[5],"with":[6,21],"proper":[7],"assumptions":[8],"on":[9],"the":[10,33,40,46,64,101,110,119],"signal":[11,18],"class,":[12],"algorithms":[13],"exist":[14],"to":[15,31,95,118,129],"reconstruct":[16],"a":[17,74,87],"in":[19,63,126],"\u211dd":[20],"an":[22,116],"optimal":[23],"number":[24,41,77,112],"of":[25,35,42,59,78,89,113],"samples.":[26,50],"We":[27,67,99,122],"generalize":[28],"this":[29],"problem":[30],"when":[32],"cost":[34],"is":[37,52],"not":[38],"only":[39],"samples":[43,79,114],"but":[44],"also":[45],"distance":[47,81],"traveled":[48,82],"between":[49,76],"This":[51],"motivated":[53],"by":[54],"our":[55,124,130],"work":[56],"studying":[57],"regions":[58],"low":[60],"oxygen":[61],"concentration":[62],"Great":[65],"Lakes.":[66],"show":[68],"that":[69],"for":[70,106,115],"one-dimensional":[71],"threshold":[72],"classifiers,":[73],"tradeoff":[75],"and":[80,109],"can":[83],"be":[84],"achieved":[85],"using":[86],"generalization":[88],"binary":[90],"search,":[91],"which":[92],"we":[93],"refer":[94],"as":[96],"quantile":[97],"search.":[98],"derive":[100],"expected":[102,111],"total":[103],"time":[105],"noiseless":[107],"measurements":[108],"extension":[117],"noisy":[120],"case.":[121],"illustrate":[123],"results":[125],"simulations":[127],"relevant":[128],"application.":[132]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}