Enhanced hierarchical classification via isotonic smoothing
Proceedings of the 17th international conference on World Wide Web
Robust and efficient multiclass SVM models for phrase pattern recognition
Pattern Recognition
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Analysis of varying approaches to topical web query classification
Proceedings of the 3rd international conference on Scalable information systems
Item Preference Parameters from Grouped Ranking Observations
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
CompositeMap: a novel framework for music similarity measure
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Kernels for Periodic Time Series Arising in Astronomy
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Post-rank reordering: resolving preference misalignments between search engines and end users
Proceedings of the 18th ACM conference on Information and knowledge management
Unsupervised active learning based on hierarchical graph-theoretic clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A review on the combination of binary classifiers in multiclass problems
Artificial Intelligence Review
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
A grouped ranking model for item preference parameter
Neural Computation
Music genre classification based on ensemble of signals produced by source separation methods
Intelligent Decision Technologies
A Bayesian Approximation Method for Online Ranking
The Journal of Machine Learning Research
An estimation of generalized bradley-terry models based on the em algorithm
Neural Computation
Improving classification of medical assertions in clinical notes
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Combining binary classifiers with imprecise probabilities
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
FORECAST: skimming off the malware cream
Proceedings of the 27th Annual Computer Security Applications Conference
Probabilistic outputs for twin support vector machines
Knowledge-Based Systems
Pairwise ranking aggregation in a crowdsourced setting
Proceedings of the sixth ACM international conference on Web search and data mining
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The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probability estimates by coupling all pairwise classification results. Error correcting output codes (ECOC) are a general framework to decompose a multi-class problem to several binary problems. To obtain probability estimates under this framework, this paper introduces a generalized Bradley-Terry model in which paired individual comparisons are extended to paired team comparisons. We propose a simple algorithm with convergence proofs to solve the model and obtain individual skill. Experiments on synthetic and re al data demonstrate that the algorithm is useful for obtaining multi-class probability estimates. Moreover, we discuss four extensions of the proposed model: 1) weighted individual skill, 2) home-field advantage, 3) ties, and 4) comparisons with more than two teams.