A Comprehensive Survey of Loss Functions in Machine Learning
Uložené v:
| Vydané v: | Annals of data science Ročník 9; číslo 2; s. 187 - 212 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English Japanese |
| Vydavateľské údaje: |
01.04.2022
|
| ISSN: | 2198-5804, 2198-5812 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Author | Ma, Yue Wang, Qi Tian, Yingjie Zhao, Kun |
|---|---|
| Author_xml | – sequence: 1 givenname: Qi surname: Wang fullname: Wang, Qi – sequence: 2 givenname: Yue surname: Ma fullname: Ma, Yue – sequence: 3 givenname: Kun surname: Zhao fullname: Zhao, Kun – sequence: 4 givenname: Yingjie surname: Tian fullname: Tian, Yingjie |
| BookMark | eNp9kM1KAzEUhYNUsNa-gKu8QPTmb5oBN6VYFUZcqOuQydyxkTZTkmmhb-_UigsXrs5dnO9y-C7JKHYRCbnmcMMBZrdZwUxpBgIYgNCS6TMyFrw0TBsuRr83qAsyzfkThhZXIKQek7s5XXSbbcIVxhz2SF93aY8H2rW06nKmy130fehipiHSZ-dXISKt0KUY4scVOW_dOuP0JyfkfXn_tnhk1cvD02JeMS-E6Rmagvuy9o1CBNH6RjYSpFayLtGj1i1H6ZDXpUZjymaGXheFVK0rlG8QGzkh5vTXp2FTwtb60LvjrD65sLYc7FGEPYmwgwj7LcLqARV_0G0KG5cO_0FfM8di6A |
| CitedBy_id | crossref_primary_10_3390_bioengineering12060565 crossref_primary_10_3390_info16090760 crossref_primary_10_1016_j_acags_2025_100285 crossref_primary_10_1007_s10589_022_00420_9 crossref_primary_10_3389_fspas_2022_980759 crossref_primary_10_1109_TPAMI_2023_3294394 crossref_primary_10_1109_JIOT_2024_3514133 crossref_primary_10_3390_app12178581 crossref_primary_10_3390_computers14070242 crossref_primary_10_1002_path_6373 crossref_primary_10_1007_s11831_023_09890_4 crossref_primary_10_3390_rs16244659 crossref_primary_10_1080_17538947_2024_2407941 crossref_primary_10_3390_app13074356 crossref_primary_10_1177_03019233241306076 crossref_primary_10_1002_cjce_25358 crossref_primary_10_1038_s41524_025_01723_1 crossref_primary_10_3390_plants13111581 crossref_primary_10_1016_j_ijfatigue_2025_109296 crossref_primary_10_1016_j_precisioneng_2023_03_005 crossref_primary_10_3390_s22134904 crossref_primary_10_1007_s10462_024_11090_w crossref_primary_10_1038_s41598_025_07115_1 crossref_primary_10_1016_j_jrtpm_2023_100394 crossref_primary_10_3390_s24123758 crossref_primary_10_1002_adts_202200867 crossref_primary_10_1038_s41612_024_00617_1 crossref_primary_10_1016_j_jcrc_2024_154792 crossref_primary_10_1016_j_pmcj_2024_101948 crossref_primary_10_1109_ACCESS_2024_3350709 crossref_primary_10_1016_j_actaastro_2023_08_001 crossref_primary_10_1007_s10462_021_10116_x crossref_primary_10_3390_agriengineering7070200 crossref_primary_10_3390_math13152417 crossref_primary_10_1038_s41534_025_01022_z crossref_primary_10_1016_j_neunet_2023_12_013 crossref_primary_10_1016_j_array_2025_100489 crossref_primary_10_3390_atmos15091043 crossref_primary_10_1109_TIM_2025_3563000 crossref_primary_10_1155_2023_7270093 crossref_primary_10_1016_j_istruc_2025_108413 crossref_primary_10_3390_aerospace12050389 crossref_primary_10_1088_1748_0221_19_06_P06028 crossref_primary_10_3390_diagnostics13020254 crossref_primary_10_1016_j_cj_2025_08_009 crossref_primary_10_1007_s11042_024_20053_w crossref_primary_10_1007_JHEP05_2024_091 crossref_primary_10_1063_5_0147592 crossref_primary_10_1109_ACCESS_2024_3388564 crossref_primary_10_1109_COMST_2023_3330910 crossref_primary_10_1016_j_jobe_2025_112264 crossref_primary_10_1007_s00477_023_02570_6 crossref_primary_10_1587_transfun_2024CIP0009 crossref_primary_10_1007_s00170_023_12700_7 crossref_primary_10_1109_ACCESS_2022_3198657 crossref_primary_10_1016_j_coldregions_2025_104594 crossref_primary_10_1140_epjc_s10052_025_13759_0 crossref_primary_10_1002_acm2_14542 crossref_primary_10_3389_fphys_2024_1428351 crossref_primary_10_1103_PhysRevE_106_064301 crossref_primary_10_1109_ACCESS_2022_3146059 crossref_primary_10_1016_j_resp_2025_104423 crossref_primary_10_52601_bpr_2021_210019 crossref_primary_10_3390_math11132829 crossref_primary_10_3390_s23167132 crossref_primary_10_1109_TCSII_2021_3087535 crossref_primary_10_1063_5_0218611 crossref_primary_10_3390_axioms12060569 crossref_primary_10_3390_aerospace10121029 crossref_primary_10_48084_etasr_11845 crossref_primary_10_3233_AIS_220017 crossref_primary_10_1109_ACCESS_2022_3147495 crossref_primary_10_1109_JIOT_2023_3280843 crossref_primary_10_3390_technologies13040128 crossref_primary_10_1007_s40745_020_00289_7 crossref_primary_10_1093_bib_bbaf001 crossref_primary_10_1016_j_cropro_2024_106948 crossref_primary_10_1109_ACCESS_2025_3555201 crossref_primary_10_1016_j_chaos_2025_117075 crossref_primary_10_1016_j_patcog_2024_110747 crossref_primary_10_1007_s11042_023_16773_0 crossref_primary_10_3390_rs15030597 crossref_primary_10_32604_cmc_2024_050949 crossref_primary_10_3390_rs15164112 crossref_primary_10_4103_wjtcm_wjtcm_92_24 crossref_primary_10_4018_IJWLTT_384589 crossref_primary_10_3390_healthcare11010123 crossref_primary_10_3390_en18102459 crossref_primary_10_1007_s40745_020_00294_w crossref_primary_10_1080_02331888_2024_2432564 crossref_primary_10_26634_jme_14_2_21191 crossref_primary_10_1016_j_procs_2024_01_137 crossref_primary_10_3389_fimmu_2024_1363144 crossref_primary_10_1016_j_ultras_2025_107639 crossref_primary_10_1109_TITS_2023_3327100 crossref_primary_10_1144_petgeo2024_040 crossref_primary_10_1002_aisy_202400178 crossref_primary_10_1016_j_chemolab_2025_105530 crossref_primary_10_1117_1_JEI_34_2_023035 crossref_primary_10_1016_j_jcp_2023_112533 crossref_primary_10_1016_j_media_2022_102629 crossref_primary_10_1016_j_compbiomed_2025_109888 crossref_primary_10_1109_TSE_2024_3509975 crossref_primary_10_3390_rs16234592 crossref_primary_10_3390_app14209603 crossref_primary_10_3390_math12070959 crossref_primary_10_3390_app14188500 crossref_primary_10_1109_ACCESS_2021_3107303 crossref_primary_10_1016_j_engappai_2024_108122 crossref_primary_10_1109_ACCESS_2024_3356551 crossref_primary_10_1007_s11356_024_33293_y crossref_primary_10_1177_03611981241274645 crossref_primary_10_1109_TSP_2025_3585830 crossref_primary_10_1007_s10845_024_02385_4 crossref_primary_10_1109_TFUZZ_2023_3330528 crossref_primary_10_1088_2040_8986_adaf3c crossref_primary_10_1038_s41467_023_42145_1 crossref_primary_10_3389_fped_2024_1453302 crossref_primary_10_3390_s22197655 crossref_primary_10_1109_ACCESS_2023_3346320 crossref_primary_10_3390_rs16091589 crossref_primary_10_1007_s00704_024_05118_y crossref_primary_10_3390_bioengineering10030321 crossref_primary_10_3390_nu14091705 crossref_primary_10_7717_peerj_cs_623 crossref_primary_10_1109_ACCESS_2022_3210347 crossref_primary_10_3390_e24040436 crossref_primary_10_1016_j_compbiomed_2023_107323 crossref_primary_10_1016_j_psep_2023_11_021 crossref_primary_10_3390_s25154755 crossref_primary_10_7717_peerj_cs_2881 crossref_primary_10_1007_s00521_023_09181_w crossref_primary_10_1088_2516_1083_ad7220 crossref_primary_10_1016_j_habitatint_2024_103250 crossref_primary_10_1109_JSTARS_2024_3485222 crossref_primary_10_1109_TDSC_2024_3402955 crossref_primary_10_2196_52045 crossref_primary_10_1038_s41467_022_34305_6 crossref_primary_10_1016_j_robot_2025_105074 crossref_primary_10_3390_agriculture15151711 crossref_primary_10_3390_agronomy13020603 crossref_primary_10_1080_00223131_2025_2551725 crossref_primary_10_1177_03611981221124593 crossref_primary_10_1109_TAI_2024_3521870 crossref_primary_10_1007_s10994_024_06715_8 crossref_primary_10_1007_s40745_022_00386_9 crossref_primary_10_1007_s00521_025_11411_2 crossref_primary_10_1049_ipr2_13305 crossref_primary_10_1109_TGRS_2024_3437346 crossref_primary_10_3390_app15074035 crossref_primary_10_3390_su162411077 crossref_primary_10_1109_ACCESS_2024_3351754 crossref_primary_10_1016_j_engfracmech_2025_111319 crossref_primary_10_1080_14498596_2024_2371831 crossref_primary_10_1007_s40593_025_00464_y crossref_primary_10_3390_s23177559 crossref_primary_10_1007_s40745_022_00448_y crossref_primary_10_1172_jci_insight_169105 crossref_primary_10_1109_ACCESS_2025_3572416 crossref_primary_10_1016_j_engappai_2025_111457 crossref_primary_10_1016_j_patrec_2024_06_033 crossref_primary_10_1109_TASE_2023_3285253 crossref_primary_10_3390_fi15100332 crossref_primary_10_1007_s11669_023_01055_x crossref_primary_10_1016_j_rines_2025_100090 crossref_primary_10_1080_0951192X_2025_2455631 crossref_primary_10_1016_j_energy_2024_133011 crossref_primary_10_3847_1538_4357_adf223 crossref_primary_10_1007_s10708_024_11122_6 crossref_primary_10_3390_rs16091574 crossref_primary_10_1007_s00158_025_04134_4 crossref_primary_10_1016_j_engappai_2024_108558 crossref_primary_10_1002_mp_17411 crossref_primary_10_1007_s00376_024_4223_6 crossref_primary_10_1016_j_engappai_2022_105800 crossref_primary_10_1109_TPAMI_2023_3296062 crossref_primary_10_1109_ACCESS_2023_3285536 crossref_primary_10_1016_j_engappai_2025_111225 crossref_primary_10_3390_electronics13163309 crossref_primary_10_3390_data6110112 crossref_primary_10_1111_sms_14625 crossref_primary_10_3390_machines13050382 crossref_primary_10_1016_j_cej_2025_161460 crossref_primary_10_1080_19392699_2023_2217747 crossref_primary_10_1016_j_istruc_2025_109087 crossref_primary_10_1109_ACCESS_2023_3295246 crossref_primary_10_1109_JIOT_2025_3547957 crossref_primary_10_1109_JSTARS_2024_3450429 crossref_primary_10_1007_s11144_024_02695_x crossref_primary_10_1007_s42979_025_03853_1 crossref_primary_10_1109_MGRS_2023_3272825 crossref_primary_10_1007_s40745_022_00444_2 crossref_primary_10_1007_s11517_023_02963_3 crossref_primary_10_1088_1402_4896_ad610b crossref_primary_10_1109_ACCESS_2025_3577087 crossref_primary_10_1016_j_heliyon_2024_e25369 crossref_primary_10_1186_s42774_024_00197_x crossref_primary_10_1016_j_rse_2025_114870 crossref_primary_10_3390_app131810295 crossref_primary_10_1016_j_buildenv_2024_111523 crossref_primary_10_1093_jamia_ocaf051 crossref_primary_10_1007_s12559_024_10329_6 crossref_primary_10_1016_j_srs_2025_100277 crossref_primary_10_1109_TTE_2024_3416532 crossref_primary_10_3389_feart_2022_1028399 crossref_primary_10_1007_s42823_025_00944_0 crossref_primary_10_1016_j_atmosres_2025_108319 crossref_primary_10_1038_s41598_023_46191_z crossref_primary_10_1007_s11265_023_01872_w crossref_primary_10_3390_rs16152757 crossref_primary_10_1007_s00521_024_10935_3 crossref_primary_10_1016_j_jmapro_2024_07_021 crossref_primary_10_1109_ACCESS_2023_3312217 crossref_primary_10_3389_frai_2025_1643582 crossref_primary_10_1109_TFUZZ_2022_3188920 crossref_primary_10_1016_j_imavis_2024_104926 crossref_primary_10_3390_network3020013 crossref_primary_10_3390_buildings14103299 crossref_primary_10_1155_2023_6651486 crossref_primary_10_1002_qua_27095 crossref_primary_10_1007_s10596_022_10181_3 crossref_primary_10_1016_j_buildenv_2023_110940 crossref_primary_10_1016_j_neucom_2025_129548 crossref_primary_10_1108_DTA_01_2024_0052 crossref_primary_10_1109_ACCESS_2023_3336289 crossref_primary_10_1016_j_jobe_2025_112372 crossref_primary_10_1016_j_insmatheco_2024_10_002 crossref_primary_10_3390_batteries9050264 crossref_primary_10_1016_j_procs_2025_04_465 crossref_primary_10_1007_s11227_025_07808_4 crossref_primary_10_1007_s40745_022_00445_1 crossref_primary_10_1007_s13206_025_00229_8 crossref_primary_10_1016_j_rcim_2025_102982 crossref_primary_10_1007_s11227_025_07032_0 crossref_primary_10_1109_TITS_2024_3361676 crossref_primary_10_3390_s23042360 crossref_primary_10_1109_ACCESS_2024_3482987 crossref_primary_10_1016_j_patrec_2023_11_016 crossref_primary_10_1016_j_apenergy_2022_119182 crossref_primary_10_1016_j_measurement_2025_118210 crossref_primary_10_1109_TSC_2024_3399658 crossref_primary_10_1016_j_resp_2024_104297 crossref_primary_10_1016_j_jappgeo_2024_105531 crossref_primary_10_32604_cmc_2023_044967 crossref_primary_10_1029_2022SW003135 crossref_primary_10_1088_1361_6560_ad1319 crossref_primary_10_1007_s13389_023_00320_6 crossref_primary_10_1007_s00339_024_07629_x crossref_primary_10_1007_s11804_024_00563_7 crossref_primary_10_1088_1361_6560_acba74 crossref_primary_10_5812_ijp_142789 crossref_primary_10_3390_electronics14091776 crossref_primary_10_1007_JHEP09_2024_128 crossref_primary_10_1007_s10489_025_06795_6 crossref_primary_10_1016_j_anucene_2024_110466 crossref_primary_10_3390_info16090798 crossref_primary_10_1016_j_segan_2024_101400 crossref_primary_10_1177_23814683231218716 crossref_primary_10_3390_jimaging11020031 crossref_primary_10_3390_make7020050 crossref_primary_10_1007_s13139_023_00821_6 crossref_primary_10_36899_JAPS_2023_4_0668 crossref_primary_10_1007_s00521_024_09931_4 crossref_primary_10_1038_s41597_024_03179_2 |
| Cites_doi | 10.7551/mitpress/11301.001.0001 10.1007/978-3-319-46478-7_31 10.1109/ICCV.2017.324 10.1145/2964284.2967274 10.1109/TPAMI.2013.178 10.1145/2347736.2347755 10.1109/CVPR.2019.00075 10.1007/s10994-009-5103-0 10.1109/TPAMI.2015.2389824 10.1109/CVPR.2019.00482 10.1016/0893-6080(88)90049-4 10.1214/aos/1016218223 10.1126/science.290.5500.2323 10.1109/ICCV.2015.169 10.1007/978-3-319-24574-4_28 10.1613/jair.105 10.1201/b14297 10.1109/21.97458 10.1002/wics.101 10.1109/CVPR.2016.89 10.1198/jcgs.2010.09206 10.1126/science.290.5500.2319 10.1109/TCYB.2016.2521767 10.1109/TPAMI.2006.244 10.1109/CVPR.2017.713 10.1109/TPAMI.2016.2644615 10.1145/1143844.1143870 10.1007/3-540-59119-2_166 10.1016/0169-7439(87)80084-9 10.1109/CVPR.2006.100 10.1109/CVPR.2014.81 10.5244/C.29.41 10.1016/j.patcog.2016.09.045 10.1109/CVPR.2005.202 10.1257/jep.15.4.143 10.1109/CVPR.2018.00552 10.1016/j.patcog.2017.03.011 10.1109/ICCV.2017.322 10.1609/aaai.v29i1.9513 10.1037/h0042519 10.1214/aos/1013203451 10.1214/aoms/1177703732 10.1201/9781420036121 10.1198/016214504000000098 10.1109/CVPR.2015.7298682 10.1109/LSP.2018.2822810 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION |
| DOI | 10.1007/s40745-020-00253-5 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 2198-5812 |
| EndPage | 212 |
| ExternalDocumentID | 10_1007_s40745_020_00253_5 |
| GroupedDBID | 0R~ 203 4.4 406 7WY 8FL AAAVM AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAYIU AAYQN AAYTO AAYXX AAZMS ABAKF ABBRH ABDBE ABDZT ABECU ABFSG ABFTD ABFTV ABJNI ABJOX ABKCH ABMQK ABQBU ABRTQ ABTEG ABTKH ABTMW ABUWG ABXPI ACAOD ACCUX ACDTI ACGFS ACHSB ACKNC ACMLO ACOKC ACPIV ACSTC ACZOJ ADHHG ADKFA ADKNI ADKPE ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGNC AEJHL AEJRE AEMSY AEOHA AEPYU AETCA AEVLU AEXYK AEZWR AFBBN AFDZB AFFHD AFHIU AFKRA AFOHR AFQWF AFZKB AGAYW AGDGC AGMZJ AGQEE AGQMX AGRTI AGWZB AGYKE AHAVH AHBYD AHKAY AHPBZ AHSBF AHWEU AHYZX AIAKS AIGIU AILAN AITGF AIXLP AJBLW AJRNO AJZVZ AKLTO ALFXC ALMA_UNASSIGNED_HOLDINGS AMKLP AMXSW AMYLF AMYQR ARAPS ASPBG ATHPR AUKKA AVWKF AVXWI AXYYD AYFIA AYQZM AZFZN BAPOH BENPR BEZIV BGLVJ BGNMA CCPQU CITATION CSCUP DNIVK DPUIP DWQXO EBLON EBS EIOEI EJD FEDTE FERAY FIGPU FINBP FNLPD FRNLG FRRFC FSGXE GGCAI GGRSB GJIRD HCIFZ HVGLF IKXTQ IWAJR IXD J-C JZLTJ KOV LLZTM M0C M4Y NB0 NPVJJ NQJWS NU0 O9J PHGZM PHGZT PQBIZ PQBZA PQGLB PQQKQ PT4 RLLFE ROL RSV SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE TSG UG4 UOJIU UTJUX UZXMN VFIZW W48 ZMTXR |
| ID | FETCH-LOGICAL-c228t-e861c9bcd4ee02fcd3d303543b9ece55f1e3ae1b95e889d7ec56634fa64cdeed3 |
| IEDL.DBID | RSV |
| ISSN | 2198-5804 |
| IngestDate | Sat Nov 29 06:35:06 EST 2025 Tue Nov 18 22:32:06 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English Japanese |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c228t-e861c9bcd4ee02fcd3d303543b9ece55f1e3ae1b95e889d7ec56634fa64cdeed3 |
| PageCount | 26 |
| ParticipantIDs | crossref_citationtrail_10_1007_s40745_020_00253_5 crossref_primary_10_1007_s40745_020_00253_5 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-04-01 |
| PublicationDateYYYYMMDD | 2022-04-01 |
| PublicationDate_xml | – month: 04 year: 2022 text: 2022-04-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Annals of data science |
| PublicationYear | 2022 |
| References | M Minsky (253_CR34) 2017 TG Dietterich (253_CR26) 1994; 2 253_CR68 X Huang (253_CR23) 2013; 36 H Abdi (253_CR53) 2010; 2 J Friedman (253_CR39) 2000; 28 Y Liu (253_CR31) 2011; 20 SR Safavian (253_CR7) 1991; 21 R Koenker (253_CR46) 2001; 15 P Moutafis (253_CR5) 2016; 47 S Wold (253_CR52) 1987; 2 253_CR37 253_CR36 GA Seber (253_CR6) 2012 PJ Huber (253_CR44) 1964; 35 AK Jain (253_CR48) 1988 AL Berger (253_CR38) 1996; 22 X Shen (253_CR24) 2017; 68 N Deng (253_CR41) 2012 K He (253_CR59) 2015; 37 DG Kleinbaum (253_CR35) 2002 JB Tenenbaum (253_CR51) 2000; 290 253_CR45 253_CR43 V Badrinarayanan (253_CR17) 2017; 39 L Van Der Maaten (253_CR2) 2009; 10 T Ahonen (253_CR14) 2006; 28 K Crammer (253_CR30) 2001; 2 I Steinwart (253_CR42) 2003; 4 253_CR47 ST Roweis (253_CR1) 2000; 290 Y Lee (253_CR28) 2004; 99 EL Allwein (253_CR27) 2000; 1 253_CR4 D Aloise (253_CR49) 2009; 75 253_CR9 253_CR11 253_CR55 253_CR12 253_CR56 G Xu (253_CR25) 2017; 63 253_CR54 253_CR19 F Rosenblatt (253_CR33) 1958; 65 A Liaw (253_CR8) 2002; 2 253_CR18 253_CR15 F Wang (253_CR67) 2018; 25 253_CR16 253_CR13 C Cortes (253_CR40) 1995; 20 253_CR57 253_CR58 P Domingos (253_CR10) 2012; 55 C Zhang (253_CR32) 2013; 14 TF Cox (253_CR50) 2000 L Yang (253_CR3) 2006; 2 253_CR22 253_CR66 253_CR20 253_CR64 253_CR21 253_CR65 253_CR62 253_CR63 J Weston (253_CR29) 1999; 99 253_CR60 253_CR61 |
| References_xml | – volume-title: Perceptrons: an introduction to computational geometry year: 2017 ident: 253_CR34 doi: 10.7551/mitpress/11301.001.0001 – ident: 253_CR63 doi: 10.1007/978-3-319-46478-7_31 – ident: 253_CR54 doi: 10.1109/ICCV.2017.324 – ident: 253_CR55 doi: 10.1145/2964284.2967274 – volume: 36 start-page: 984 issue: 5 year: 2013 ident: 253_CR23 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2013.178 – ident: 253_CR65 – volume: 55 start-page: 78 issue: 10 year: 2012 ident: 253_CR10 publication-title: Commun ACM doi: 10.1145/2347736.2347755 – ident: 253_CR56 doi: 10.1109/CVPR.2019.00075 – volume: 75 start-page: 245 issue: 2 year: 2009 ident: 253_CR49 publication-title: Mach Learn doi: 10.1007/s10994-009-5103-0 – volume: 37 start-page: 1904 issue: 9 year: 2015 ident: 253_CR59 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2015.2389824 – ident: 253_CR68 doi: 10.1109/CVPR.2019.00482 – ident: 253_CR37 doi: 10.1016/0893-6080(88)90049-4 – volume: 1 start-page: 113 issue: 12 year: 2000 ident: 253_CR27 publication-title: J Mach Learn Res – volume: 99 start-page: 219 year: 1999 ident: 253_CR29 publication-title: Esann – ident: 253_CR36 – volume: 28 start-page: 337 issue: 2 year: 2000 ident: 253_CR39 publication-title: Ann Stat doi: 10.1214/aos/1016218223 – volume: 290 start-page: 2323 issue: 5500 year: 2000 ident: 253_CR1 publication-title: Science doi: 10.1126/science.290.5500.2323 – ident: 253_CR11 doi: 10.1109/ICCV.2015.169 – ident: 253_CR16 doi: 10.1007/978-3-319-24574-4_28 – volume: 2 start-page: 263 year: 1994 ident: 253_CR26 publication-title: J Artif Intell Res doi: 10.1613/jair.105 – volume-title: Support vector machines: optimization based theory, algorithms, and extensions year: 2012 ident: 253_CR41 doi: 10.1201/b14297 – volume: 10 start-page: 13 issue: 66–71 year: 2009 ident: 253_CR2 publication-title: J Mach Learn Res – volume: 21 start-page: 660 issue: 3 year: 1991 ident: 253_CR7 publication-title: IEEE Trans Syst Man Cybern doi: 10.1109/21.97458 – volume: 2 start-page: 433 issue: 4 year: 2010 ident: 253_CR53 publication-title: Wiley Interdiscip Rev Comput Stat doi: 10.1002/wics.101 – ident: 253_CR57 doi: 10.1109/CVPR.2016.89 – volume: 20 start-page: 901 issue: 4 year: 2011 ident: 253_CR31 publication-title: J Comput Graph Stat doi: 10.1198/jcgs.2010.09206 – ident: 253_CR43 – volume: 290 start-page: 2319 issue: 5500 year: 2000 ident: 253_CR51 publication-title: Science doi: 10.1126/science.290.5500.2319 – volume: 47 start-page: 612 issue: 3 year: 2016 ident: 253_CR5 publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2016.2521767 – volume: 28 start-page: 2037 issue: 12 year: 2006 ident: 253_CR14 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2006.244 – ident: 253_CR12 – volume-title: Algorithms for clustering data year: 1988 ident: 253_CR48 – ident: 253_CR64 doi: 10.1109/CVPR.2017.713 – volume: 39 start-page: 2481 issue: 12 year: 2017 ident: 253_CR17 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2016.2644615 – ident: 253_CR22 doi: 10.1145/1143844.1143870 – ident: 253_CR9 doi: 10.1007/3-540-59119-2_166 – volume: 2 start-page: 37 issue: 1–3 year: 1987 ident: 253_CR52 publication-title: Chemometr Intell Lab Syst doi: 10.1016/0169-7439(87)80084-9 – ident: 253_CR61 doi: 10.1109/CVPR.2006.100 – volume: 20 start-page: 273 issue: 3 year: 1995 ident: 253_CR40 publication-title: Mach Learn – ident: 253_CR58 doi: 10.1109/CVPR.2014.81 – ident: 253_CR15 doi: 10.5244/C.29.41 – ident: 253_CR47 – volume: 22 start-page: 39 issue: 1 year: 1996 ident: 253_CR38 publication-title: Comput Linguist – volume: 63 start-page: 139 year: 2017 ident: 253_CR25 publication-title: Pattern Recognit doi: 10.1016/j.patcog.2016.09.045 – volume: 2 start-page: 18 issue: 3 year: 2002 ident: 253_CR8 publication-title: R News – ident: 253_CR19 – ident: 253_CR20 – volume: 2 start-page: 4 issue: 2 year: 2006 ident: 253_CR3 publication-title: Mich State Univ – ident: 253_CR60 doi: 10.1109/CVPR.2005.202 – volume: 15 start-page: 143 issue: 4 year: 2001 ident: 253_CR46 publication-title: J Econ Perspect doi: 10.1257/jep.15.4.143 – ident: 253_CR66 doi: 10.1109/CVPR.2018.00552 – volume: 68 start-page: 199 year: 2017 ident: 253_CR24 publication-title: Pattern Recognit doi: 10.1016/j.patcog.2017.03.011 – volume: 2 start-page: 265 issue: 12 year: 2001 ident: 253_CR30 publication-title: J Mach Learn Res – ident: 253_CR4 – volume: 4 start-page: 1071 issue: 11 year: 2003 ident: 253_CR42 publication-title: J Mach Learn Res – volume-title: Linear regression analysis year: 2012 ident: 253_CR6 – volume-title: Logistic regression year: 2002 ident: 253_CR35 – ident: 253_CR13 doi: 10.1109/ICCV.2017.322 – volume: 14 start-page: 1349 issue: 1 year: 2013 ident: 253_CR32 publication-title: J Mach Learn Res – ident: 253_CR21 doi: 10.1609/aaai.v29i1.9513 – volume: 65 start-page: 386 issue: 6 year: 1958 ident: 253_CR33 publication-title: Psychol Rev doi: 10.1037/h0042519 – ident: 253_CR45 doi: 10.1214/aos/1013203451 – volume: 35 start-page: 73 issue: 1 year: 1964 ident: 253_CR44 publication-title: Ann Math Stat doi: 10.1214/aoms/1177703732 – volume-title: Multidimensional scaling year: 2000 ident: 253_CR50 doi: 10.1201/9781420036121 – volume: 99 start-page: 67 issue: 465 year: 2004 ident: 253_CR28 publication-title: J Am Stat Assoc doi: 10.1198/016214504000000098 – ident: 253_CR62 doi: 10.1109/CVPR.2015.7298682 – volume: 25 start-page: 926 issue: 7 year: 2018 ident: 253_CR67 publication-title: IEEE Signal Process Lett doi: 10.1109/LSP.2018.2822810 – ident: 253_CR18 |
| SSID | ssj0002140235 |
| Score | 2.6643953 |
| SourceID | crossref |
| SourceType | Enrichment Source Index Database |
| StartPage | 187 |
| Title | A Comprehensive Survey of Loss Functions in Machine Learning |
| Volume | 9 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: ABI/INFORM Collection customDbUrl: eissn: 2198-5812 dateEnd: 20241212 omitProxy: false ssIdentifier: ssj0002140235 issn: 2198-5804 databaseCode: 7WY dateStart: 20140301 isFulltext: true titleUrlDefault: https://www.proquest.com/abicomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ABI/INFORM Global customDbUrl: eissn: 2198-5812 dateEnd: 20241212 omitProxy: false ssIdentifier: ssj0002140235 issn: 2198-5804 databaseCode: M0C dateStart: 20140301 isFulltext: true titleUrlDefault: https://search.proquest.com/abiglobal providerName: ProQuest – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 2198-5812 dateEnd: 20241212 omitProxy: false ssIdentifier: ssj0002140235 issn: 2198-5804 databaseCode: P5Z dateStart: 20140301 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2198-5812 dateEnd: 20241212 omitProxy: false ssIdentifier: ssj0002140235 issn: 2198-5804 databaseCode: BENPR dateStart: 20140301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 2198-5812 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002140235 issn: 2198-5804 databaseCode: RSV dateStart: 20140301 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEB5q8eDF-sT6KHvwpovNZjfJgpciFg-1iPVRT6GZnWhBUkkf4L93N01LDyr0GjZhmZ3lm83O930A55ToINEecT0g5NLmFNcWJ7jSRjWTBNE3BVG4E3a7Ub-vHypw-ecN_tXYHjmkYxE7BrRQPneMci8Qzq7gsfey_KEi7FFBFIaadhM6NlFTliSZ37-yAkQriNKurTeXHdguK0fWmi_1LlQo24PawpWBlZt0H65bzD3M6WPem85603xG32yUso6dCGtbJCuSjQ0zdl_0UhIrZVbfD-C5fft0c8dLjwSOQkQTTlHgoU7QSKKmSNH4xoKSkn6iCUmp1CN_QF6iFUWRNiGhrd98mQ4Cicbio38I1WyU0REwg077D71mGpAkC-QRCp2SLQlRhSGldfAWAYuxFBB3Phaf8VL6uAhPbMMTF-GJVR0ulu98zeUz_hl9vNboE9gSjotQtNGcQnWST-kMNnE2GY7zBmyEr2-NIkV-AMFwsJk |
| linkProvider | Springer Nature |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Comprehensive+Survey+of+Loss+Functions+in+Machine+Learning&rft.jtitle=Annals+of+data+science&rft.au=Wang%2C+Qi&rft.au=Ma%2C+Yue&rft.au=Zhao%2C+Kun&rft.au=Tian%2C+Yingjie&rft.date=2022-04-01&rft.issn=2198-5804&rft.eissn=2198-5812&rft.volume=9&rft.issue=2&rft.spage=187&rft.epage=212&rft_id=info:doi/10.1007%2Fs40745-020-00253-5&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s40745_020_00253_5 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2198-5804&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2198-5804&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2198-5804&client=summon |