JOURNAL OF MACHINE LEARNING RESEARCH-期刊论坛，投稿经验-MedSci.cn

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2021-12-29 桑晒麦拉

长篇幅讨论是否展示作者对课题的思考？审稿人对MS印象好？

0 1

展开1条回复

[GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考？审稿人对MS印象好？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=37, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0 经验分享：一篇就是几十页的长文，被中科院升级版分到3区，天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=74, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大，搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难，分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0 经验分享：虽然if只有不到3，但在我心目中是ml最顶级的期刊，完爆pami... pami毕竟是ieee的期刊，所以更侧重于应用。 jmlr是cs的期刊，基本上每篇文章20页起，几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别： ee的更注重结果：我提出一个idea，创新性挺高，实验结果也很nb，we are happy~ cs则不仅仅看重结果，看创新性，更重要的是，我要从理论上证明我的方法牛逼，比如算法的convergence，performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0 经验分享：机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=445, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]

2021-12-28 乌云背后的幸福线

讨论的字数一般控制在多少？

37 1

展开1条回复

[GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考？审稿人对MS印象好？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=37, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0 经验分享：一篇就是几十页的长文，被中科院升级版分到3区，天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=74, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大，搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难，分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0 经验分享：虽然if只有不到3，但在我心目中是ml最顶级的期刊，完爆pami... pami毕竟是ieee的期刊，所以更侧重于应用。 jmlr是cs的期刊，基本上每篇文章20页起，几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别： ee的更注重结果：我提出一个idea，创新性挺高，实验结果也很nb，we are happy~ cs则不仅仅看重结果，看创新性，更重要的是，我要从理论上证明我的方法牛逼，比如算法的convergence，performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0 经验分享：机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=445, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]

2020-01-16 ms7442275544109079

审稿速度:5.0
经验分享：一篇就是几十页的长文，被中科院升级版分到3区，天大的笑话。让我拿升级版的三个一区换这个我都愿意。

74 0

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2019-07-03 ms248080445684567

3周被拒

78 0

[GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考？审稿人对MS印象好？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=37, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0 经验分享：一篇就是几十页的长文，被中科院升级版分到3区，天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=74, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大，搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难，分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0 经验分享：虽然if只有不到3，但在我心目中是ml最顶级的期刊，完爆pami... pami毕竟是ieee的期刊，所以更侧重于应用。 jmlr是cs的期刊，基本上每篇文章20页起，几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别： ee的更注重结果：我提出一个idea，创新性挺高，实验结果也很nb，we are happy~ cs则不仅仅看重结果，看创新性，更重要的是，我要从理论上证明我的方法牛逼，比如算法的convergence，performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0 经验分享：机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=445, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]

2018-07-03 ms4600315023772712

搞应用的泡沫越来越大，搞理论的已经死了.................

84 0

[GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考？审稿人对MS印象好？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=37, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0 经验分享：一篇就是几十页的长文，被中科院升级版分到3区，天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=74, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大，搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难，分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0 经验分享：虽然if只有不到3，但在我心目中是ml最顶级的期刊，完爆pami... pami毕竟是ieee的期刊，所以更侧重于应用。 jmlr是cs的期刊，基本上每篇文章20页起，几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别： ee的更注重结果：我提出一个idea，创新性挺高，实验结果也很nb，we are happy~ cs则不仅仅看重结果，看创新性，更重要的是，我要从理论上证明我的方法牛逼，比如算法的convergence，performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0 经验分享：机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=445, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]

2017-11-27 ms6459520362745523

绝对的best的ml journal 比pami难，分到2区挺搞笑。

73 0

[GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考？审稿人对MS印象好？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=37, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0 经验分享：一篇就是几十页的长文，被中科院升级版分到3区，天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=74, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大，搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难，分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0 经验分享：虽然if只有不到3，但在我心目中是ml最顶级的期刊，完爆pami... pami毕竟是ieee的期刊，所以更侧重于应用。 jmlr是cs的期刊，基本上每篇文章20页起，几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别： ee的更注重结果：我提出一个idea，创新性挺高，实验结果也很nb，we are happy~ cs则不仅仅看重结果，看创新性，更重要的是，我要从理论上证明我的方法牛逼，比如算法的convergence，performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0 经验分享：机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=445, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]

2013-02-23 ms2983094698733738

审稿速度:12.0
经验分享：虽然if只有不到3，但在我心目中是ml最顶级的期刊，完爆pami...
pami毕竟是ieee的期刊，所以更侧重于应用。
jmlr是cs的期刊，基本上每篇文章20页起，几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别：
ee的更注重结果：我提出一个idea，创新性挺高，实验结果也很nb，we are happy~
cs则不仅仅看重结果，看创新性，更重要的是，我要从理论上证明我的方法牛逼，比如算法的convergence，performance的upp

79 0

[GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考？审稿人对MS印象好？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少？, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=37, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0 经验分享：一篇就是几十页的长文，被中科院升级版分到3区，天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=74, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大，搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难，分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0 经验分享：虽然if只有不到3，但在我心目中是ml最顶级的期刊，完爆pami... pami毕竟是ieee的期刊，所以更侧重于应用。 jmlr是cs的期刊，基本上每篇文章20页起，几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别： ee的更注重结果：我提出一个idea，创新性挺高，实验结果也很nb，we are happy~ cs则不仅仅看重结果，看创新性，更重要的是，我要从理论上证明我的方法牛逼，比如算法的convergence，performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0 经验分享：机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=445, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]

2011-08-12 johanhu

审稿速度:2.0
经验分享：机器学习神经网络方面水平最高的期刊。命中率很低。

445 0

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