Higher order learning with graphs, Proceedings of the 23rd international conference on Machine learning , ICML '06, pp.17-24, 2006. ,
DOI : 10.1145/1143844.1143847
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.4625
Graphs and hypergraphs. North-Holl Math. Libr. North-Holland, 1973. ,
End-to-end coreference resolution via hypergraph partitioning, Proc. of COLING, pp.143-151, 2010. ,
Networks, crowds, and markets: Reasoning about a highly connected world, 2010. ,
DOI : 10.1017/CBO9780511761942
The Rating of Chess Players, Past and Present, 1978. ,
Directed hypergraphs and applications, Discrete Applied Mathematics, vol.42, issue.2-3, pp.177-201, 1993. ,
DOI : 10.1016/0166-218X(93)90045-P
PythonSkills: Implementation of the TrueSkill, Glicko and Elo Ranking Algorithms, 2012. ,
The Total Variation on Hypergraphs -Learning on Hypergraphs Revisited, Proc. of NIPS, pp.2427-2435, 2013. ,
TrueSkill TM : A Bayesian Skill Rating System, Proc. of NIPS, pp.569-576, 2006. ,
Prediction on a Graph with a Perceptron, Proc. of NIPS, pp.577-584, 2006. ,
Hypergraphs and Cellular Networks, PLoS Computational Biology, vol.9, issue.5, 2009. ,
DOI : 10.1371/journal.pcbi.1000385.g002
The predictive power of ranking systems in association football, International Journal of Applied Pattern Recognition, vol.1, issue.1, pp.27-46, 2013. ,
DOI : 10.1504/IJAPR.2013.052339
Python implementation of Elo: A rating system for chess tournaments, 2013. ,
Python implementation of TrueSkill: The video game rating system, 2013. ,
A generalized inverse for matrices, Proc. of Cambridge Philos. Soc, pp.406-413, 1955. ,
DOI : 10.1093/qmath/2.1.189
A tutorial on spectral clustering, Statistics and computing, vol.17, issue.4, pp.395-416, 2007. ,
The automatic construction of a view-independent relational model for 3-D object recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.15, issue.6, pp.531-544, 1993. ,
Learning from labeled and unlabeled data on a directed graph, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.1036-1043, 2005. ,
DOI : 10.1145/1102351.1102482
Learning with hypergraphs: Clustering, classification, and embedding, Proc. of NIPS, pp.1601-1608, 2007. ,
Semi-supervised learning using gaussian fields and harmonic functions, Proc. of ICML, pp.912-919, 2003. ,