The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Machine Learning
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
ICML '01 Proceedings of the Eighteenth International 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
Tree Induction for Probability-Based Ranking
Machine Learning
Tree induction vs. logistic regression: a learning-curve analysis
The Journal of Machine Learning Research
Data mining in metric space: an empirical analysis of supervised learning performance criteria
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting good probabilities with supervised learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Classifying imbalanced data using a bagging ensemble variation (BEV)
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Machine Learning
Toward knowledge-driven data mining
Proceedings of the 2007 international workshop on Domain driven data mining
Improving railroad wheel inspection planning using classification methods
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Processing forecasting queries
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Boosting recombined weak classifiers
Pattern Recognition Letters
Non-stationary data sequence classification using online class priors estimation
Pattern Recognition
Agnostically learning decision trees
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
An empirical evaluation of supervised learning in high dimensions
Proceedings of the 25th international conference on Machine learning
Statistical diagnosis of unmodeled systematic timing effects
Proceedings of the 45th annual Design Automation Conference
A critical analysis of variants of the AUC
Machine Learning
When Overlapping Unexpectedly Alters the Class Imbalance Effects
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Generalizing Data in Natural Language
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Classifier Loss Under Metric Uncertainty
ECML '07 Proceedings of the 18th European conference on Machine Learning
Feature Selection and Classification for Small Gene Sets
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Learning from the Past with Experiment Databases
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Classification models for the prediction of clinicians' information needs
Journal of Biomedical Informatics
Large scale multi-label classification via metalabeler
Proceedings of the 18th international conference on World wide web
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Out-of-bag estimation of the optimal sample size in bagging
Pattern Recognition
Automatic selection of high quality parses created by a fully unsupervised parser
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
ODDboost: Incorporating Posterior Estimates into AdaBoost
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
A rose is a roos is a ruusu: querying translations for web image search
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
PLANET: massively parallel learning of tree ensembles with MapReduce
Proceedings of the VLDB Endowment
Evaluation of robustness and performance of early stopping rules with multi layer perceptrons
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
The Journal of Machine Learning Research
Image classification using marginalized kernels for graphs
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Analyzing PETs on imbalanced datasets when training and testing class distributions differ
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Combining clauses with various precisions and recalls to produce accurate probabilistic estimates
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Track-based self-supervised classification of dynamic obstacles
Autonomous Robots
Ensemble pruning via individual contribution ordering
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Hunting for truly relevant articles in bioinformatics literature: a preliminary study
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Manifold learning for patient position detection in MRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Sensing foot gestures from the pocket
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Improved fully unsupervised parsing with zoomed learning
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Customer Validation of Commercial Predictive Models
Proceedings of the 2010 conference on Data Mining for Business Applications
A data mining framework for detecting subscription fraud in telecommunication
Engineering Applications of Artificial Intelligence
Data mining for credit card fraud: A comparative study
Decision Support Systems
Agreement-based semi-supervised learning for skull stripping
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Inactive learning?: difficulties employing active learning in practice
ACM SIGKDD Explorations Newsletter
Confidence driven unsupervised semantic parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Maximum likelihood for gaussians on graphs
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Identifying training sets for personalized article retrieval system
Proceedings of the 49th Annual Southeast Regional Conference
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin
The Journal of Machine Learning Research
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Expert Systems with Applications: An International Journal
On Equivalence Relationships Between Classification and Ranking Algorithms
The Journal of Machine Learning Research
Evolving neural networks with maximum AUC for imbalanced data classification
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Editors Choice Article: I2VM: Incremental import vector machines
Image and Vision Computing
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Journal of Medical Systems
Content classification of development emails
Proceedings of the 34th International Conference on Software Engineering
Intelligible models for classification and regression
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Random forests for metric learning with implicit pairwise position dependence
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards automatically detecting whether student learning is shallow
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
An expert system for an innovative discrimination tool of commercial table grapes
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Mind the gap: learning to choose gaps for question generation
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Learning speaker, addressee and overlap detection models from multimodal streams
Proceedings of the 14th ACM international conference on Multimodal interaction
Analyzing patient records to establish if and when a patient suffered from a medical condition
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Using low-level dynamic attributes for malware detection based on data mining methods
MMM-ACNS'12 Proceedings of the 6th international conference on Mathematical Methods, Models and Architectures for Computer Network Security: computer network security
Embedding monte carlo search of features in tree-based ensemble methods
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Batch-incremental versus instance-incremental learning in dynamic and evolving data
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Annotating mobile phone location data with activity purposes using machine learning algorithms
Expert Systems with Applications: An International Journal
Partial Least Square Discriminant Analysis for bankruptcy prediction
Decision Support Systems
Randomness and sparsity induced codebook learning with application to cancer image classification
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Heterogeneous features and model selection for event-based media classification
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis
International Journal of Knowledge Discovery in Bioinformatics
A comparison of machine learning algorithms for proactive hard disk drive failure detection
Proceedings of the 4th international ACM Sigsoft symposium on Architecting critical systems
A survey on smartphone-based systems for opportunistic user context recognition
ACM Computing Surveys (CSUR)
A data mining approach for diagnosis of coronary artery disease
Computer Methods and Programs in Biomedicine
Computers and Electronics in Agriculture
On the doubt about margin explanation of boosting
Artificial Intelligence
Accurate probability calibration for multiple classifiers
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Advanced Engineering Informatics
Feature engineering for semantic place prediction
Pervasive and Mobile Computing
Reducing energy waste through eco-aware everyday things
Mobile Information Systems - Internet of Things
The impact of multinationality on firm value: A comparative analysis of machine learning techniques
Decision Support Systems
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A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog Project in the early 90's. We present a large-scale empirical comparison between ten supervised learning methods: SVMs, neural nets, logistic regression, naive bayes, memory-based learning, random forests, decision trees, bagged trees, boosted trees, and boosted stumps. We also examine the effect that calibrating the models via Platt Scaling and Isotonic Regression has on their performance. An important aspect of our study is the use of a variety of performance criteria to evaluate the learning methods.