hunch_net hunch_net-2008 hunch_net-2008-283 knowledge-graph by maker-knowledge-mining
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Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
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same-blog 1 1.0 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
2 0.22502522 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
3 0.22381079 268 hunch net-2007-10-19-Second Annual Reinforcement Learning Competition
Introduction: The Second Annual Reinforcement Learning Competition is about to get started. The aim of the competition is to facilitate direct comparisons between various learning methods on important and realistic domains. This year’s event will feature well-known benchmark domains as well as more challenging problems of real-world complexity, such as helicopter control and robot soccer keepaway. The competition begins on November 1st, 2007 when training software is released. Results must be submitted by July 1st, 2008. The competition will culminate in an event at ICML-08 in Helsinki, Finland, at which the winners will be announced. For more information, visit the competition website.
4 0.22253047 326 hunch net-2008-11-11-COLT CFP
Introduction: Adam Klivans , points out the COLT call for papers . The important points are: Due Feb 13. Montreal, June 18-21. This year, there is author feedback.
5 0.20367046 17 hunch net-2005-02-10-Conferences, Dates, Locations
Introduction: Conference Locate Date COLT Bertinoro, Italy June 27-30 AAAI Pittsburgh, PA, USA July 9-13 UAI Edinburgh, Scotland July 26-29 IJCAI Edinburgh, Scotland July 30 – August 5 ICML Bonn, Germany August 7-11 KDD Chicago, IL, USA August 21-24 The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
6 0.17451827 452 hunch net-2012-01-04-Why ICML? and the summer conferences
7 0.15621099 470 hunch net-2012-07-17-MUCMD and BayLearn
8 0.1515635 66 hunch net-2005-05-03-Conference attendance is mandatory
9 0.14606953 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
10 0.11368788 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
11 0.10916367 285 hunch net-2008-01-23-Why Workshop?
12 0.10753109 387 hunch net-2010-01-19-Deadline Season, 2010
13 0.095974162 324 hunch net-2008-11-09-A Healthy COLT
14 0.091079868 92 hunch net-2005-07-11-AAAI blog
15 0.088314936 11 hunch net-2005-02-02-Paper Deadlines
16 0.086331785 174 hunch net-2006-04-27-Conferences, Workshops, and Tutorials
17 0.084837817 467 hunch net-2012-06-15-Normal Deviate and the UCSC Machine Learning Summer School
18 0.082840167 130 hunch net-2005-11-16-MLSS 2006
19 0.077314526 71 hunch net-2005-05-14-NIPS
20 0.075095825 357 hunch net-2009-05-30-Many ways to Learn this summer
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same-blog 1 0.98489285 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
2 0.8570258 17 hunch net-2005-02-10-Conferences, Dates, Locations
Introduction: Conference Locate Date COLT Bertinoro, Italy June 27-30 AAAI Pittsburgh, PA, USA July 9-13 UAI Edinburgh, Scotland July 26-29 IJCAI Edinburgh, Scotland July 30 – August 5 ICML Bonn, Germany August 7-11 KDD Chicago, IL, USA August 21-24 The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
3 0.71712148 66 hunch net-2005-05-03-Conference attendance is mandatory
Introduction: For anyone planning to do research, conference attendance is virtually mandatory for success. Aside from exposing yourself to a large collection of different ideas, many interesting conversations leading to new research happen at conferences. If you are a student, you should plan to go to at least one summer conference. Your advisor should cover the costs. Conference Location Early Registration deadline normal/student cost in US dollars AAAI Pittsburgh, PA, USA May 13 590/170 IJCAI Edinburgh, Scotland May 21 663/351 COLT Bertinoro, Italy May 30 256/178 KDD Chicago, IL, USA July 15 590/260 ICML Bonn, Germany July 1 448 UAI Edinburgh, Scotland not ready yet ???
4 0.70123088 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
5 0.65042365 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
Introduction: Machine learning always welcomes the new year with paper deadlines for summer conferences. This year, we have: Conference Paper Deadline When/Where Double blind? Author Feedback? Notes ICML February 1 June 28-July 2, Bellevue, Washington, USA Y Y Weak colocation with ACL COLT February 11 July 9-July 11, Budapest, Hungary N N colocated with FOCM KDD February 11/18 August 21-24, San Diego, California, USA N N UAI March 18 July 14-17, Barcelona, Spain Y N The larger conferences are on the west coast in the United States, while the smaller ones are in Europe.
6 0.64125949 184 hunch net-2006-06-15-IJCAI is out of season
7 0.56626087 470 hunch net-2012-07-17-MUCMD and BayLearn
8 0.51905352 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
9 0.51834685 268 hunch net-2007-10-19-Second Annual Reinforcement Learning Competition
10 0.41638079 387 hunch net-2010-01-19-Deadline Season, 2010
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16 0.3632338 4 hunch net-2005-01-26-Summer Schools
17 0.33022895 357 hunch net-2009-05-30-Many ways to Learn this summer
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19 0.28664148 71 hunch net-2005-05-14-NIPS
20 0.28497511 130 hunch net-2005-11-16-MLSS 2006
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1 0.98922592 92 hunch net-2005-07-11-AAAI blog
Introduction: The AAAI conference is running a student blog which looks like a fun experiment.
same-blog 2 0.95536292 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
3 0.40536407 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
4 0.34113809 107 hunch net-2005-09-05-Site Update
Introduction: I tweaked the site in a number of ways today, including: Updating to WordPress 1.5. Installing and heavily tweaking the Geekniche theme. Update: I switched back to a tweaked version of the old theme. Adding the Customizable Post Listings plugin. Installing the StatTraq plugin. Updating some of the links. I particularly recommend looking at the computer research policy blog. Adding threaded comments . This doesn’t thread old comments obviously, but the extra structure may be helpful for new ones. Overall, I think this is an improvement, and it addresses a few of my earlier problems . If you have any difficulties or anything seems “not quite right”, please speak up. A few other tweaks to the site may happen in the near future.
5 0.33093628 16 hunch net-2005-02-09-Intuitions from applied learning
Introduction: Since learning is far from an exact science, it’s good to pay attention to basic intuitions of applied learning. Here are a few I’ve collected. Integration In Bayesian learning, the posterior is computed by an integral, and the optimal thing to do is to predict according to this integral. This phenomena seems to be far more general. Bagging, Boosting, SVMs, and Neural Networks all take advantage of this idea to some extent. The phenomena is more general: you can average over many different classification predictors to improve performance. Sources: Zoubin , Caruana Differentiation Different pieces of an average should differentiate to achieve good performance by different methods. This is know as the ‘symmetry breaking’ problem for neural networks, and it’s why weights are initialized randomly. Boosting explicitly attempts to achieve good differentiation by creating new, different, learning problems. Sources: Yann LeCun , Phil Long Deep Representation Ha
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10 0.27695179 6 hunch net-2005-01-27-Learning Complete Problems
11 0.25503761 21 hunch net-2005-02-17-Learning Research Programs
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13 0.2381027 66 hunch net-2005-05-03-Conference attendance is mandatory
14 0.2367025 292 hunch net-2008-03-15-COLT Open Problems
15 0.21835628 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
16 0.21582422 151 hunch net-2006-01-25-1 year
17 0.21365163 265 hunch net-2007-10-14-NIPS workshp: Learning Problem Design
18 0.21336493 305 hunch net-2008-06-30-ICML has a comment system
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20 0.20337887 141 hunch net-2005-12-17-Workshops as Franchise Conferences