International Conference on Machine Learning

Machine learning and data mining
Problems Classification Clustering Regression Anomaly detection AutoML Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank Grammar induction
Supervised learning (classification • regression) Decision trees Ensembles Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Expectation–maximization (EM) DBSCAN OPTICS Mean-shift
Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA t-SNE
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection k-NN Local outlier factor
Artificial neural networks Autoencoder Deep learning DeepDream Multilayer perceptron RNN LSTM GRU) Restricted Boltzmann machine SOM Convolutional neural network U-Net
Reinforcement learning Q-learning SARSA Temporal difference (TD)
Theory Bias-variance dilemma Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory
Machine-learning venues NIPS ICML ML JMLR ArXiv:cs.LG
Glossary of artificial intelligence Glossary of artificial intelligence
Related articles List of datasets for machine-learning research Outline of machine learning
Machine learning portal

The International Conference on Machine Learning (ICML) is an international academic conference on machine learning. Along with the Conference on Neural Information Processing Systems, it is one of the two primary conferences of high impact in machine learning and artificial intelligence research. It is supported by the International Machine Learning Society.

History

The first ICML was held 1980 in Pittsburgh. The conference completed its 25th anniversary in Helsinki, Finland in 2008.

See also

• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
• International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics
• Journal of Machine Learning Research
• Machine Learning

External links

• Official website