Qillqaqkuna:  (1) Guillaume Staerman, INRIA, CEA, Univ., 1999 watapi. Paris-Saclay, Francia suyupi;  (2) Marta Campi, CERIAH, Instituto de Audición, Institut Pasteur, Franciamanta;  (3) Gareth W. Peters, Departamento de Estadística & Probabilidad Aplicada, California Santa Barbara Universidadpi, Estados Unidospi.  Tabla de Enlaces   Resumen y 1. Riqsichikuy   2. Ñawpaqmanta willakuy & Ñawpaqmanta willakuy   2.1. Funcional Aislamiento Bosque   2.2. Método de Firma nisqa   3. Firma Aislamiento Yunka Método   4. Yupay ruwaykuna   4.1. Parámetros nisqamanta Análisis de Sensibilidad nisqa   4.2. Ventajas de (K-)SIF nisqamanta FIF nisqamanta   4.3. Chiqap-datukuna Anomalía Detección Benchmark   5. Rimanakuy & Tukuchiy, Willakuykuna Impacto, hinallataq Referenciakuna  Apéndice nisqapi   A. Firmamanta Yapamanta Willakuykuna   B. Algoritmos K-SIF y SIF nisqakuna   C. Experimentos Numéricos Yapaykuna  4.3. Chiqap-datukuna Anomalía Detección Benchmark  Chay (K-)SIF algoritmokuna yuyaykusqa allin kayninta chaninchanapaq, FIFwan tupachiyta qunapaq, chunka anomalía tariymanta willakuy huñusqakuna Staerman et al. (2019) shinallatak UCR waqaychasqamanta hurqusqa (Chen et al., 2015). Staerman et al.pa contranpi. (2019), mana huk parte de capacitación/prueba llamk’achiykuchu imaraykuchus etiquetas mana capacitaciónpaq llamk’achisqachu kanku chaymanta modelokunata yachachiy chaymanta chaninchay chay capacitación datukunallapi. Algoritmos nisqapa ruwayninta chaninchayku, chay AUC nisqa yupaywan ROC kurvakunapa ukunpi.   Hukninpiqa, 4 yupaypiqa, FIFwan K-SIFwan ruway mana kaqlla kasqankutam qawarichikun, Brownian simi pirwawan. Riqsisqa, K-SIF rikuchin huk hatun ruway ventajata FIF kaqmanta. Kay qhawayqa firma k'iti allin kayninta aswan willay huñukunapi FIF ruwayninta allinchaypi riqsichin, huk sanu ukhu rurumanta llamk'achiyta allinninkunata kallpachaspa. Hukninpiqa, datos funcionales nisqapa sasachakuyninta qawarispaqa, manam ima sapalla métodopas suyakunchu universalmente hukkunamanta aswan allinta ruwananta.  Ichaqa, SIF aswan achka kutipi sinchi ruwayta rikuchin, pichqa willakuy huñukunapaq aswan allin ruwaykunata aypaspa. FIFwan K-SIFwan tupachisqaqa, imaymana willakuy huñukunamanmi sinchi kayninta qawachin, manataqmi sinchitachu afectasqa kachkan FIF (diccionario hinaspa ukhu ruru) hinaspa K-SIF (diccionario) nisqapi kaq parámetros nisqakuna akllasqanwan.  Kay qillqasqaqa   CC BY 4.0 DEED nisqa licenciawan. arxiv nisqapim kachkan

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material.

Computational.TECH

Computational catalyzes innovation, fueling sustainable breakthroughs for a brighter future.

computational's blog

¡Kay uyariyqa willakuypa qallariy siminpi ruwasqam kachkan!

Imaynatataq (K-)SIF FIFmanta aswan allinta ruwan Chiqa-Dato Anomalía Detección nisqapi

About Author

IMAYNA RUWAYKUNA

HANG TAGS

KAY ARTÍCULO IMAYNA RUWAYPI RIQSICHISQAN

Related Stories

The Medical Experts And A Pound Of Nuts

3 HackerNoon Features You Need to Take Advantage of for Your Next Article

Man and Man

So You Think You’re Smart? Try These 5 Levels of Quantum Computing Explanations

The Medical Experts And A Pound Of Nuts

3 HackerNoon Features You Need to Take Advantage of for Your Next Article

Man and Man

So You Think You’re Smart? Try These 5 Levels of Quantum Computing Explanations

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps