MACHINE LEARNING JOURNAL CLUB

NOTE: Machine Learning journal club and Bioinformatics journal club were merged at October 7, 2007. The new journal club site is located here.

---

Machine learning journal club meetings of the Statistical Machine Learning and Bioinformatics group are held every second Monday in room A328. Once per month the journal club is replaced by the seminar of the Algorithms and Methods group (marked as Algorithms and Methods Seminar).
The machine learning journal club starts at 12:15, while the Algorithms and Methods seminar starts at 12:00.

---

2007

 

• 17.9.2007 Algorithms and Methods Seminar (Tapani Raiko)
  Kristian Kersting and Luc De Raedt. Bayesian Logic Programming: Theory and Tool, a chapter in Lise Getoor and Benjamin Taskar, editors, An Introduction to Statistical Relational Learning, MIT Press, 2007
  
  
• 4.9.2007 (Antti)
  Samples from GENSIPS'07.
  
  
• 20.8.2007 Algorithms and Methods Seminar (Jaakko Peltonen; A346)
  Rich Caruana. Multitask Learning. Machine Learning 28: 41-75, 1997. (publisher page)
  Theodoros Evgeniou, Charles A. Micchelli, and Massimiliano Pontil. Learning multiple tasks with kernel methods. Journal of Machine Learning Research 6: 615-637, 2005. (pdf)
  Ya Xue, Xuejun Liao, Lawrence Carin, and Balaji Krishnapuram. Multi-task learning for classification with Dirichlet process priors. Journal of Machine Learning Research 8: 35-63, 2007. (pdf)
  Kai Yu, Volker Tresp and Anton Schwaighofer. Learning Gaussian processes from multiple tasks. In ICML 2005. (pdf)
  Xuejun Liao, Ya Xue and Lawrence Carin. Logistic regression with an auxiliary data source. In ICML 2005. (pdf)
  Andreas Argyriou, Theodoros Evgeniou, and Massimiliano Pontil. Multi-Task Feature Learning. In NIPS 2006. (pre-proceedings pdf)
  Alexandru Niculescu-Mizil and Rich Caruana. Inductive Transfer for Bayesian Network Structure Learning. In AISTATS 2007. (pdf)
  
  
• 18.6.2007 Algorithms and Methods Seminar (Juha Karhunen; A346)
  Ruslan Salakhutdinov and Geoff Hinton. Learning a Nonlinear Embedding by Preserving Class Neighborhood Structure. AISTATS 2007. (pdf)
  Ruslan Salakhutdinov and Geoff Hinton. Deep Belief Networks. Learning 2007 workshop. (pdf)
  
  
• 4.6.2007 (Leo; A328)
  Zhengdong Lu and Todd K. Leen, Penalized Probabilistic Clustering, Neural Computation. 2007;19:1528-1567. (paper).
  
  
• 21.5.2007 (Ilkka)
  postponed
  
  
• 7.5.2007 (Jarkko S.; A328)
  Katherine Heller and Zoubin Ghahramani. A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. AISTATS'07.
  
  
• 23.4.2007 (Sami; A328)
  Samples from the Learning Workshop and AISTATS.
  
  
• 10.4.2007 (Merja)
  Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin and Roded Sharan A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data. Proceedings of ECCB 2006, Bioinformatics 2007 23(2):e91-e98. (abstract).
  
  
• 26.03.2007 (Abhishek)
  An introduction to Network Topology.
  
  
• 26.2.2007 (Eika)
  Guy Lebanon Riemannian Geometry and Statistical Machine Learning. Doctoral Thesis. (pdf).
  OR Metric Learning for Text Documents. In IEEE Transactions on Pattern Analysis and Machine Learning 28(4) 497-508, 2006 . (pdf).
  
  
• 12.2.2007
  Samples from ICML'06. List of accepted papers.
  
  
• 29.1.2007 (Janne)
  Efron & Tibshirani: The Problem of Regions. The Annals of Statistics, vol.26, No.5, pp.1687--1718, 1998. (pdf from JSTOR).
  
  
• 16.1.2007 (Sami & Jaakko)
  Samples from NIPS'06. (Pre-Proceedings).
  
  
• 4.1.2007 (Leo)
  N. Heard et al. Bayesian coclustering of Anopheles gene expression time series: Study of immune defense response to multiple experimental challenges. In PNAS 102(47)16939-16944, 2005 . (pdf).
  
  

2006

 

• 22.11.2006 (Ilkka)
  Michael Jordan: Graphical Models. Statistical Science (Special Issue on Bayesian Statistics), 19, 140-155, 2004. (ps).
  
  
• 8.11.2006 (Jarkko S.)
  A. Banerjee, S. Merugu, I.S. Dhillon and J. Ghosh: Clustering with Bregman Divergences. JMLR 6 (2005) 1705-1749. (pdf)
  
  
• 25.10.2006 (Merja)
  T Lange and JM Buhmann: Fusion of Similarity Data in Clustering. NIPS 2005 (pdf)
  
  
• 11.10.2006 (Abhishek)
  Kevin Murphy: A Brief Introduction to Graphical Models and Bayesian Networks. (pdf).
  
  
• 27.9.2006 (Arto)
  Peter Müller and Fernando A. Quintana: Nonparametric Bayesian Data Analysis. Statistical Science, 19(1), 2004, pp. 95-110. (pdf).
  
  
• 13.9.2006 (Guest speaker: Antti Honkela)
  Topic: Expectation propagation. Antti's slides are here, and some of the background is in Matthias Seeger: Expectation Propagation for Exponential Families (pdf).
  
  
• 30.8.2006 (Eika).
  C. Elkan: Deriving TF-IDF as a Fisher kernel. In Proceedings of the International Symposium on String Processing and Information Retrieval (SPIRE'05), Buenos Aires, Argentina, November 2005, pp. 296-301. (pdf).
  
  

---