sign up for your presentation: Difference between revisions
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|Yongpeng Sun|| Multi‐Task Feature Learning [http://books.nips.cc/papers/files/nips19/NIPS2006_0251.pdf] | |Yongpeng Sun|| Multi‐Task Feature Learning [http://books.nips.cc/papers/files/nips19/NIPS2006_0251.pdf] [http://www.wikicoursenote.com/wiki/Multi-Task_Feature_Learning Summary] | ||
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|Manda Winlaw|| Consistency of trace norm minimization [http://www.di.ens.fr/~fbach/bach08a.pdf] | |Manda Winlaw|| Consistency of trace norm minimization [http://www.di.ens.fr/~fbach/bach08a.pdf] | ||
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Revision as of 18:51, 28 November 2010
Sign up for your presentation in the following table. Put your name and a link to the paper that you are going to present. Chose a date between Nov 16 and Dec 2 (inclusive).
Set A
Date | Presentation (1) | Presentation (2) |
Nov 16 | Sepideh Seifzadeh [1] Summary | Manda Winlaw [2], Summary |
Nov 18 | Rahul [3] Summary | Fatemeh Dorri [4],Summary |
Nov 23 | Pouria Fewzee | Lisha Yu[5]Summary |
Nov 25 | Laleh Ghoraie [6] Summary | Mehrdad Gangeh [7]Summary |
Nov 30 | Greg D'Cunha [8] Summary | Mohammad Derakhshani [9], |
Dec 2 | Yongpeng Sun [10] Summary | Ryan Case [11] Summary |
Set B
Name | Second paper (The paper that you are going to write a critic on it. This is different from the paper that you have chosen for presentation.) |
Greg D'Cunha | Probabilistic matrix factorization [12] Summary |
Fatemeh Dorri | Optimal Solutions forSparse Principal Component Analysis[13] |
Lisha Yu | Maximum‐margin matrix factorization[14] |
Ryan Case | Probabilistic non-linear principal component analysis with Gaussian process latent variable models [15] Summary |
Yongpeng Sun | Multi‐Task Feature Learning [16] Summary |
Manda Winlaw | Consistency of trace norm minimization [17] |