Learning and making decisions when costs and probabilities are both unknown
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Magical thinking in data mining: lessons from CoIL challenge 2000
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Class Probability Estimation and Cost-Sensitive Classification Decisions
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Transforming classifier scores into accurate multiclass probability estimates
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Pruning and dynamic scheduling of cost-sensitive ensembles
Eighteenth national conference on Artificial intelligence
Tree Induction for Probability-Based Ranking
Machine Learning
Using asymmetric distributions to improve text classifier probability estimates
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Tree induction vs. logistic regression: a learning-curve analysis
The Journal of Machine Learning Research
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Passenger-based predictive modeling of airline no-show rates
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Experimental design for solicitation campaigns
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic score estimation with piecewise logistic regression
ICML '04 Proceedings of the twenty-first international conference on Machine learning
MOB-ESP and other improvements in probability estimation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Local sparsity control for naive Bayes with extreme misclassification costs
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Predicting good probabilities with supervised learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Predicting Protein-Protein Interactions by Association Mining
Information Systems Frontiers
An empirical comparison of supervised learning algorithms
ICML '06 Proceedings of the 23rd international conference on Machine learning
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Information Processing and Management: an International Journal
Expert Systems with Applications: An International Journal
Boosted Classification Trees and Class Probability/Quantile Estimation
The Journal of Machine Learning Research
Relational Dependency Networks
The Journal of Machine Learning Research
Diagnosing scrapie in sheep: A classification experiment
Computers in Biology and Medicine
Mining data from intensive care patients
Advanced Engineering Informatics
Journal of Biomedical Informatics
Cost-sensitive multi-class classification from probability estimates
Proceedings of the 25th international conference on Machine learning
RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING
Applied Artificial Intelligence
PRIE: a system for generating rulelists to maximize ROC performance
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery
Probability Based Metrics for Locally Weighted Naive Bayes
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
A Simple Lexicographic Ranker and Probability Estimator
ECML '07 Proceedings of the 18th European conference on Machine Learning
Learning Decision Trees for Unbalanced Data
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Naive Bayes for optimal ranking
Journal of Experimental & Theoretical Artificial Intelligence
An experimental comparison of performance measures for classification
Pattern Recognition Letters
Calibrated lazy associative classification
SBBD '08 Proceedings of the 23rd Brazilian symposium on Databases
Efficient AdaBoost Region Classification
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Cost-sensitive learning based on Bregman divergences
Machine Learning
Spectrum of variable-random trees
Journal of Artificial Intelligence Research
Keep the decision tree and estimate the class probabilities using its decision boundary
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Ranking cases with decision trees: a geometric method that preserves intelligibility
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Active cost-sensitive learning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Meta-conformity approach to reliable classification
Intelligent Data Analysis
A unified model of phrasal and sentential evidence for information extraction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Auto claim fraud detection using Bayesian learning neural networks
Expert Systems with Applications: An International Journal
Why fuzzy decision trees are good rankers
IEEE Transactions on Fuzzy Systems
Risk neutral calibration of classifiers
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Multi-represented classification based on confidence estimation
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Estimation of class membership probabilities in the document classification
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Similarity-binning averaging: a generalisation of binning calibration
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Journal of Systems and Software
Optimizing debt collections using constrained reinforcement learning
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Calibrated lazy associative classification
Information Sciences: an International Journal
Real-time tracking with classifiers
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Preserving privacy in data mining via importance weighting
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
A unifying view on dataset shift in classification
Pattern Recognition
Relational learning: statistical approach versus logical approach in document image understanding
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Comparing fuzzy naive bayes and gaussian naive bayes for decision making in robocup 3d
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Improving the ranking performance of decision trees
ECML'06 Proceedings of the 17th European conference on Machine Learning
Probability estimation in error correcting output coding framework using game theory
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Attribute and object selection queries on objects with probabilistic attributes
ACM Transactions on Database Systems (TODS)
Hellinger distance decision trees are robust and skew-insensitive
Data Mining and Knowledge Discovery
Active learning for probability estimation using jensen-shannon divergence
ECML'05 Proceedings of the 16th European conference on Machine Learning
Decision tree classifiers sensitive to heterogeneous costs
Journal of Systems and Software
Cost-sensitive classification with inadequate labeled data
Information Systems
Feature weighted minimum distance classifier with multi-class confidence estimation
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Lazy learning for improving ranking of decision trees
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Probabilistic outputs for twin support vector machines
Knowledge-Based Systems
Inference in possibilistic network classifiers under uncertain observations
Annals of Mathematics and Artificial Intelligence
Web Semantics: Science, Services and Agents on the World Wide Web
The Journal of Machine Learning Research
Differential privacy based on importance weighting
Machine Learning
Aggregative quantification for regression
Data Mining and Knowledge Discovery
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