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JOURNAL OF MACHINE LEARNING RESEARCH

期刊標題檢索 J MACH LEARN RE 最新評論: I completely agree, many theories in this journal are rigorous and in-... (2024-04-29)


期刊名稱:   ISSN:   主題領域:   影響因子範圍: -
索引:   類別:   開放訪問:   排序方式:

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期刊簡介
期刊名稱JOURNAL OF MACHINE LEARNING RESEARCH JOURNAL OF MACHINE LEARNING RESEARCH
LetPub Score
6.7
51 ratings
Rate

Reputation
7.2

Influence
5.8

Speed
8.6

期刊簡稱J MACH LEARN RES
ISSN1532-4435
E-ISSN1533-7928
h-index173
CiteScore
CiteScoreSJRSNIPCiteScore Rank
18.802.7964.031
Subject fieldQuartilesRankPercentile
Category: Mathematics
Subcategory: Statistics and Probability
Q11 / 278
Category: Mathematics
Subcategory: Control and Systems Engineering
Q110 / 321
Category: Mathematics
Subcategory: Software
Q120 / 407
Category: Mathematics
Subcategory: Artificial Intelligence
Q120 / 350

自引率 (2023-2024)4.70%自引率趨勢
掲載範囲
The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online.

JMLR has a commitment to rigorous yet rapid reviewing.
JMLR seeks previously unpublished papers on machine learning that contain:
new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or biological nature;
experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems;
accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods;
formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks;
development of new analytical frameworks that advance theoretical studies of practical learning methods;
computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.
官方網站http://jmlr.org/
在線稿件提交http://jmlr.org/author-info.html
開放訪問Yes
出版商Microtome Publishing
主題領域工程技术
出版國/地區UNITED STATES
發行頻率隔月刊行
創刊年2001
每年文章數349每年文章數趨勢
黃金OA百分比0.00%
Web of Science 四分位
2023-2024
WOS Quartile: Q1

CategoryEditionJIF QuartileJIF RankingJIF Percentage
AUTOMATION & CONTROL SYSTEMSSCIEQ121/84
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ254/197
索引 (SCI or SCIE)Science Citation Index Expanded
鏈接到PubMed Central (PMC)https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1532-4435%5BISSN%5D
平均審稿時間 *來自出版商的數據:
來自作者的數據: Average 2 Month(s)
競爭力 *來自作者的數據: Difficult
參考鏈接
相關期刊 【JOURNAL OF MACHINE LEARNING RESEARCH】CiteScore趨勢
自引率趨勢 每年文章數趨勢
作者評論
*所有的審稿過程指標,如接受率和審稿速度,僅限於用戶提交的稿件。因此,這些指標可能無法準確反映期刊的競爭力或速度。
  • 同一學科的期刊
  • CiteScore趨勢
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  • 每年文章數趨勢
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    學科內的可信期刊 影響因子
    INTERNATIONAL JOURNAL OF COMPUTER VISIONH-index: 172

    CiteScore: 29.80
    ARTIFICIAL INTELLIGENCE REVIEWH-index: 63

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    IEEE Computational Intelligence MagazineH-index: 48

    CiteScore: 14.50
    KNOWLEDGE-BASED SYSTEMSH-index: 94

    CiteScore: 14.80
    DECISION SUPPORT SYSTEMSH-index: 127

    CiteScore: 14.70
    International Journal of Neural SystemsH-index: 55

    CiteScore: 11.30
    NEURAL NETWORKSH-index: 128

    CiteScore: 13.90
    NEUROCOMPUTINGH-index: 110

    CiteScore: 13.10
    ARTIFICIAL INTELLIGENCEH-index: 135

    CiteScore: 11.20
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMSH-index: 72

    CiteScore: 11.30
    學科內最受檢索的期刊 頁面查看次數
    NEUROCOMPUTING1221846
    KNOWLEDGE-BASED SYSTEMS797209
    APPLIED INTELLIGENCE723379
    NEURAL COMPUTING & APPLICATIONS621035
    NEURAL NETWORKS400331
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS394026
    PATTERN RECOGNITION LETTERS245762
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS240398
    NEURAL PROCESSING LETTERS236026
    ARTIFICIAL INTELLIGENCE199905
  •  

    JOURNAL OF MACHINE LEARNING RESEARCH JOURNAL OF MACHINE LEARNING RESEARCH
    明年預測:
    穩步上升 無變化 逐步下降  刷新
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  [JOURNAL OF MACHINE LEARNING RESEARCH] 的評論撰寫評論
作者: xx........


領域: 计算机科学
審稿時間: 0.0 month(s)
結果: 待定&不明


撰寫評論

2024-04-29 22:35:48 評論於
I completely agree, many theories in this journal are rigorous and in-depth, worth studying. When I looked at this division recently, I was in Area 3 of the Chinese Academy of Sciences, is it a joke? Are these divisions determined by the fast-food-like diaphragm? If everyone does this, who still has the heart to do research, just follow the hot topics, and attend those so-called top conferences, which are nothing
(1) 讚! | xx........

作者: 超师傅


領域: 工程技术
審稿時間: 3.0 month(s)
結果: 直接被接受


撰寫評論

2024-02-08 09:51:04 評論於
I cannot agree with you
(1) 讚! | 超师傅

作者: yueyaquan


領域: 管理学
審稿時間: 8.0 month(s)
結果: 修改後接受


撰寫評論

2021-05-31 12:14:50 評論於
Okay, it took two years and one month from submission to acceptance, with four revisions. The article is 40 pages long, and each response letter is around 30 pages. The editor is very responsible and enthusiastic, providing many good suggestions. The reviewers are experts in this field, asking pertinent and challenging questions that are highly enlightening for the article's revision. However, the amount of work required for the revisions is often substantial. JMLR focuses more on theoretical achievements in machine learning compared to PAMI. It is rare to see scholars publishing continuously in JMLR, while it is more common in PAMI.
(106) 讚! | yueyaquan

作者: 丹神


領域: 信息科学
審稿時間: 7.0 month(s)
結果: 直接被接受


撰寫評論

2018-07-03 14:29:14 評論於
The bubble of application is getting bigger and bigger, and the theory is dead.................
(0) 讚! | 丹神

作者: dgsdfgg


領域: 信息科学
審稿時間: 5.0 month(s)
結果: 直接被接受


撰寫評論

2017-11-27 07:06:37 評論於
Absolutely best ML journal is more difficult than pami, and it is quite funny to divide into 2 areas.
(5) 讚! | dgsdfgg

作者: 匿名


領域:
審稿時間: 3.0 month(s)
結果: 修改後接受


撰寫評論

2013-09-23 10:38:00 評論於
One of the top four journals in the artificial intelligence and pattern recognition identified by the Chinese Computer Society, the impact factor has increased a lot in 2013 (IF: 3.42).1. The editor of the journal is very enthusiastic and the speed of review is ok.2. The reviewers have a lot of opinions, but they are very important.3. It took nine months to change from the submission to the final publication because it was modified four times in the middle (the English was written too badly and changed many times).(This speed is very slow. Generally, JMLR only takes three or four months from submission to acceptance).
(5) 讚! | 匿名

作者: 匿名


領域:
審稿時間: 0.0 month(s)
結果:


撰寫評論

2013-02-23 09:01:00 評論於
Although the impact factor is less than 3, it is the top journal in machine learning my mind. PAMI is an IEEE journal, so it focuses more on applications. JMLR is a journal of CS. Basically, from the 20th page of each article, almost every article has a number of theorem proofs. This also reflects the difference between CS and EE; EE is more focused on the results.

(6) 讚! | 匿名

作者: 匿名


領域:
審稿時間: 0.0 month(s)
結果:


撰寫評論

2010-07-23 04:27:00 評論於
one of the top journals in the field of artificial intelligence.The impact factor is not high, but it is very recognized in the industry.The review speed is faster.There are very few people in the country.
(4) 讚! | 匿名

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