hunch_net hunch_net-2005 hunch_net-2005-93 knowledge-graph by maker-knowledge-mining
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Introduction: Some of the “sister conference” presentations at AAAI have been great. Roughly speaking, the conference organizers asked other conference organizers to come give a summary of their conference. Many different AI-related conferences accepted. The presenters typically discuss some of the background and goals of the conference then mention the results from a few papers they liked. This is great because it provides a mechanism to get a digested overview of the work of several thousand researchers—something which is simply available nowhere else. Based on these presentations, it looks like there is a significant component of (and opportunity for) applied machine learning in AIIDE , IUI , and ACL . There was also some discussion of having a super-colocation event similar to FCRC , but centered on AI & Learning. This seems like a fine idea. The field is fractured across so many different conferences that the mixing of a supercolocation seems likely helpful for research.
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3 The presenters typically discuss some of the background and goals of the conference then mention the results from a few papers they liked. [sent-4, score-1.134]
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5 Based on these presentations, it looks like there is a significant component of (and opportunity for) applied machine learning in AIIDE , IUI , and ACL . [sent-6, score-0.646]
6 There was also some discussion of having a super-colocation event similar to FCRC , but centered on AI & Learning. [sent-7, score-0.439]
7 The field is fractured across so many different conferences that the mixing of a supercolocation seems likely helpful for research. [sent-9, score-1.112]
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Introduction: Some of the “sister conference” presentations at AAAI have been great. Roughly speaking, the conference organizers asked other conference organizers to come give a summary of their conference. Many different AI-related conferences accepted. The presenters typically discuss some of the background and goals of the conference then mention the results from a few papers they liked. This is great because it provides a mechanism to get a digested overview of the work of several thousand researchers—something which is simply available nowhere else. Based on these presentations, it looks like there is a significant component of (and opportunity for) applied machine learning in AIIDE , IUI , and ACL . There was also some discussion of having a super-colocation event similar to FCRC , but centered on AI & Learning. This seems like a fine idea. The field is fractured across so many different conferences that the mixing of a supercolocation seems likely helpful for research.
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Introduction: This is a reminder that many deadlines for summer conference registration are coming up, and attendance is a very good idea. It’s entirely reasonable for anyone to visit a conference once, even when they don’t have a paper. For students, visiting a conference is almost a ‘must’—there is no where else that a broad cross-section of research is on display. Workshops are also a very good idea. ICML has 11 , KDD has 9 , and AAAI has 19 . Workshops provide an opportunity to get a good understanding of some current area of research. They are probably the forum most conducive to starting new lines of research because they are so interactive. Tutorials are a good way to gain some understanding of a long-standing direction of research. They are generally more coherent than workshops. ICML has 7 and AAAI has 15 .
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Introduction: As part of a PASCAL project, the Slovenians have been filming various machine learning events and placing them on the web here . This includes, for example, the Chicago 2005 Machine Learning Summer School as well as a number of other summer schools, workshops, and conferences. There are some significant caveats here—for example, I can’t access it from Linux. Based upon the webserver logs, I expect that is a problem for most people—Computer scientists are particularly nonstandard in their choice of computing platform. Nevertheless, the core idea here is excellent and details of compatibility can be fixed later. With modern technology toys, there is no fundamental reason why the process of announcing new work at a conference should happen only once and only for the people who could make it to that room in that conference. The problems solved include: The multitrack vs. single-track debate. (“Sometimes the single track doesn’t interest me” vs. “When it’s multitrack I mis
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Introduction: Some of the “sister conference” presentations at AAAI have been great. Roughly speaking, the conference organizers asked other conference organizers to come give a summary of their conference. Many different AI-related conferences accepted. The presenters typically discuss some of the background and goals of the conference then mention the results from a few papers they liked. This is great because it provides a mechanism to get a digested overview of the work of several thousand researchers—something which is simply available nowhere else. Based on these presentations, it looks like there is a significant component of (and opportunity for) applied machine learning in AIIDE , IUI , and ACL . There was also some discussion of having a super-colocation event similar to FCRC , but centered on AI & Learning. This seems like a fine idea. The field is fractured across so many different conferences that the mixing of a supercolocation seems likely helpful for research.
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