Publications of P Philips
All genres
Journal Article (2)
1.
Journal Article
14, pp. 315 - 337 (2010)
On the Optimality of Sample-Based Estimates of the Expectation of the Empirical Minimizer. ESAIM: Probability and Statistics 2.
Journal Article
19 (11), pp. 2133 - 2143 (2009)
mGene: Accurate SVM-based gene finding with an application to nematode genomes. Genome Research Conference Paper (2)
3.
Conference Paper
24 (13), pp. i6 - i14 (2008)
POIMs: positional oligomer importance matrices: understanding support vector machine-based signal detectors. 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, July 19, 2008 - July 23, 2008. Bioinformatics 4.
Conference Paper
8 (Supplement 10), S7, (2007)
Accurate Splice site Prediction Using Support Vector Machines. NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Whistler, Canada, December 08, 2006. BMC Bioinformatics Meeting Abstract (2)
5.
Meeting Abstract
mGene: A Novel Discriminative Gene Finding System. In 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), p. 20. 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, July 19, 2008 - July 23, 2008. (2008)
6.
Meeting Abstract
mGene: A Novel Discriminative Ab-initio Gene Finding System. In Automated Function Prediction: Biosapiens Joint Special Interest Group Meeting, pp. 36 - 37. Automated Function Prediction: Biosapiens Joint Special Interest Group Meeting, Wien, Austria, July 19, 2007 - July 20, 2007. (2007)
Talk (6)
7.
Talk
Bioinformatics (Past, Current and Future Projects). IDA Retreat (2009)
8.
Talk
Large Scale Machine Learning for Genomic Sequence Analysis (Support Vector Machine Based Signal Detectors). Eberhard-Karls-Universität, Tübingen, Germany (2009)
9.
Talk
Accurate and Interpretable Large Scale Genomic Signal Detection (Support Vector Machine Based Signal Detectors). Max-Planck-Institut für Molekulare Genetik, Berlin, Germany (2009)
10.
Talk
Positional Oligomer Importance Matrices. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, BC, Canada (2007)
11.
Talk
Probabilistic Models in Machine Learning. Vorlesung WS 2007/2008 Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2007)
12.
Talk
Advanced Methods for Sequence Analysis in Bioinformatics. Vorlesung WS 2007/2008: Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2007)
Poster (1)
13.
Poster
mGene: A Novel Discriminative Gene Finding System. 15th Annual International Conference on Intelligent Systems for Molecular Biology, 6th Annual European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria (2007)
Report (1)
14.
Report
2/2007). (2007), 12 pp.
Computing Positional Oligomer Importance Matrices (POIMs) (FIRST Reports,