기계학습(저널)
Machine Learning (journal).jpg) | |
| 규율 | 기계 학습 |
|---|---|
| 언어 | 영어 |
| 발행 상세 | |
| 역사 | 1986년부터 현재까지 |
| 출판인 | |
| 2.809 (2018) | |
| 표준 약어 | |
| ISO 4 | 마하. 배워라. |
| 색인화 | |
| ISSN | 1573-0565 |
| 링크 | |
)머신 러닝은 1986년부터 발행된 동료 검토 과학 저널입니다.
2001년, 40명의 편집자와 머신 러닝의 편집 위원들은 Journal of Machine Learning Research(JMLR)를 지원하기 위해 사임했습니다.인터넷 시대에 연구자들이 유료 아카이브를 갖춘 고가의 저널에 논문을 계속 게재하는 것은 좋지 않다고 말했습니다.대신,[1] 그들은 저자들이 그들의 논문에 대한 저작권을 보유하고 인터넷에서 자유롭게 아카이브를 이용할 수 있는 JMLR의 모델을 지지한다고 썼다.
대량 사임 후 Kluwer는 출판 정책을 변경하여 저자가 동료 검토 [2]후 온라인으로 논문을 자기 아카이브할 수 있도록 했습니다.
선택된 기사
- J.R. Quinlan (1986). "Induction of Decision Trees". Machine Learning. 1: 81–106. doi:10.1007/BF00116251.
- Nick Littlestone (1988). "Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm" (PDF). Machine Learning. 2 (4): 285–318. doi:10.1007/BF00116827.
- Robert E. Schapire (1990). "The Strength of Weak Learnability" (PDF). Machine Learning. 5 (2): 197–227. doi:10.1007/BF00116037. Archived from the original (PDF) on 2012-10-10. Retrieved 2020-02-22.
- J. Quinlan (1990). "Learning Logical Descriptions from Relations" (PDF). Machine Learning. 5 (3): 239–266. doi:10.1007/BF00117105.
- John R. Anderson and Michael Matessa (1992). "Explorations of an Incremental, Bayesian Algorithm for Categorization". Machine Learning. 9 (4): 275–308. doi:10.1007/BF00994109.
- David Klahr (1994). "Children, Adults, and Machines as Discovery Systems". Machine Learning. 14 (3): 313–320. doi:10.1007/BF00993981.
- Thomas Dean and Dana Angluin and Kenneth Basye and Sean Engelson and Leslie Kaelbling and Evangelos Kokkevis and Oded Maron (1995). "Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning". Machine Learning. 18: 81–108. doi:10.1007/BF00993822.
- Luc De Raedt and Luc Dehaspe (1997). "Clausal Discovery". Machine Learning. 26 (2/3): 99–146. doi:10.1023/A:1007361123060.
- C. de la Higuera (1997). "Characteristic Sets for Grammatical Inference". Machine Learning. 27: 1–14.
- Robert E. Schapire and Yoram Singer (1999). "Improved Boosting Algorithms Using Confidence-rated Predictions". Machine Learning. 37 (3): 297–336. doi:10.1023/A:1007614523901.
- Robert E. Schapire and Yoram Singer (2000). "BoosTexter: A Boosting-based System for Text Categorization". Machine Learning. 39 (2/3): 135–168. doi:10.1023/A:1007649029923.
- P. Rossmanith and T. Zeugmann (2001). "Stochastic Finite Learning of the Pattern Languages". Machine Learning. 44 (1–2): 67–91. doi:10.1023/A:1010875913047.
- Parekh, Rajesh; Honavar, Vasant (2001). "Learning DFA from Simple Examples". Machine Learning. 44 (1/2): 9–35. doi:10.1023/A:1010822518073.
- Ayhan Demiriz and Kristin P. Bennett and John Shawe-Taylor (2002). "Linear Programming Boosting via Column Generation". Machine Learning. 46: 225–254. doi:10.1023/A:1012470815092.
- Simon Colton and Stephen Muggleton (2006). "Mathematical Applications of Inductive Logic Programming" (PDF). Machine Learning. 64 (1–3): 25–64. doi:10.1007/s10994-006-8259-x.
- Will Bridewell and Pat Langley and Ljupco Todorovski and Saso Dzeroski (2008). "Inductive Process Modeling". Machine Learning.
- Stephen Muggleton and Alireza Tamaddoni-Nezhad (2008). "QG/GA: a stochastic search for Progol". Machine Learning. 70 (2–3): 121–133. doi:10.1007/s10994-007-5029-3.
레퍼런스
- ^ "Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter". SIGIR Forum. 35 (2). 2001.
- ^ Robin, Peek (1 December 2001). "Machine Learning's Editorial Board Divided". Information Today. 18 (11).
