sign up for your presentation: Difference between revisions

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|Nov 30 || Greg D'Cunha [http://www.stanford.edu/~hllee/icml07-selftaughtlearning.pdf]|| Mohammad Derakhshani [www.hiit.fi/~buntine/ais03.pdf]
|Nov 30 || Greg D'Cunha [http://www.stanford.edu/~hllee/icml07-selftaughtlearning.pdf]|| Mohammad Derakhshani [http://www.hiit.fi/~buntine/ais03.pdf]
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|Dec 2 || Yongpeng Sun [http://www.google.ca/url?sa=t&source=web&cd=1&ved=0CBUQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.76.5871%26rep%3Drep1%26type%3Dpdf&rct=j&q=%22Uncovering%20shared%20structures%20in%20multiclass%20classification.%22&ei=5We3TJTVOYH98Abi3czpCQ&usg=AFQjCNF6MSD0BNolGNe4z6d1RKeR7ZWJsw&sig2=B9YHZC8V9q6nIPa4vJKr-g&cad=rja] || Ryan Case [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.4570&rep=rep1&type=pdf]
|Dec 2 || Yongpeng Sun [http://www.google.ca/url?sa=t&source=web&cd=1&ved=0CBUQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.76.5871%26rep%3Drep1%26type%3Dpdf&rct=j&q=%22Uncovering%20shared%20structures%20in%20multiclass%20classification.%22&ei=5We3TJTVOYH98Abi3czpCQ&usg=AFQjCNF6MSD0BNolGNe4z6d1RKeR7ZWJsw&sig2=B9YHZC8V9q6nIPa4vJKr-g&cad=rja] || Ryan Case [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.4570&rep=rep1&type=pdf]

Revision as of 13:05, 15 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 [5] Lisha Yu[6]
Nov 25 Laleh Ghoraie [7] Mehrdad Gangeh [8]
Nov 30 Greg D'Cunha [9] Mohammad Derakhshani [10]
Dec 2 Yongpeng Sun [11] Ryan Case [12]

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 [13]
Fatemeh Dorri Optimal Solutions forSparse Principal Component Analysis[14]
Lisha Yu Maximum‐margin matrix factorization[15]
Ryan Case Probabilistic non-linear principal component analysis with Gaussian process latent variable models [16]
Yongpeng Sun Multi‐Task Feature Learning [17]
Manda Winlaw Consistency of trace norm minimization [18]