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Jean-Philippe Pellet
2010 – today
- 2012
[i1]Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff: Explanation Trees for Causal Bayesian Networks. CoRR abs/1206.3276 (2012)- 2011
- [c5]Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann: Predicting Graduate-level Performance from Undergraduate Achievements. EDM 2011: 357-358
- 2010
- [j3]André Elisseeff, Jean-Philippe Pellet, Eleni Pratsini: Causal networks for risk and compliance: Methodology and application. IBM Journal of Research and Development 54(3): 6 (2010)
- [c4]Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov: Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development 2010
2000 – 2009
- 2008
- [j2]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov: Design and Analysis of the Causation and Prediction Challenge. Journal of Machine Learning Research - Proceedings Track 3: 1-33 (2008)
- [j1]Jean-Philippe Pellet, André Elisseeff: Using Markov Blankets for Causal Structure Learning. Journal of Machine Learning Research 9: 1295-1342 (2008)
- [c3]Jean-Philippe Pellet, André Elisseeff: Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets. NIPS 2008: 1249-1256
- [c2]Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff: Explanation Trees for Causal Bayesian Networks. UAI 2008: 427-434
- 2007
- [c1]Jean-Philippe Pellet, André Elisseeff: A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables. IDA 2007: 229-239
Coauthor Index
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last updated on 2012-12-02 20:33 CET by the dblp team