Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
C4.5: programs for machine learning
C4.5: programs for machine learning
Keeping the neural networks simple by minimizing the description length of the weights
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Classification and prediction of ß-turn by neural network
Advances in Engineering Software
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Machine Learning
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology
Diverse ensembles for active learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Protein homology detection using string alignment kernels
Bioinformatics
Protein homology detection by HMM--HMM comparison
Bioinformatics
Ambient Intelligence, Wireless Networking, And Ubiquitous Computing
Ambient Intelligence, Wireless Networking, And Ubiquitous Computing
Predicted function of the vaccinia virus G5R protein
Bioinformatics
Creating diverse ensemble classifiers to reduce supervision
Creating diverse ensemble classifiers to reduce supervision
Cancer gene search with data-mining and genetic algorithms
Computers in Biology and Medicine
Constructing diverse classifier ensembles using artificial training examples
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Predicting O-glycosylation sites in mammalian proteins by using SVMs
Computational Biology and Chemistry
Brief communication: SVM-BALSA: Remote homology detection based on Bayesian sequence alignment
Computational Biology and Chemistry
A novel ensemble machine learning for robust microarray data classification
Computers in Biology and Medicine
Towards automated cellular image segmentation for RNAi genome-wide screening
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Classifying G-protein coupled receptors with bagging classification tree
Computational Biology and Chemistry
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Bioinformatics is conceptualising biology in terms of molecules (in the sense of physical chemistry) and applying 'informatics techniques' (derived from disciplines such as applied mathematics, computer science and statistics) to understand and organise the information associated with these molecules on a large scale. In short, bioinformatics is a management information system for molecular biology and has many practical applications. Many artificial intelligence (AI) methods have been employed in the field of bioinformatics. In this paper, we will introduce the application of AI methods mainly in three fields: genomic sequence, protein structure and function prediction and DNA microarrays. AI methods surveyed in this paper cover artificial neural network, support vector machine (SVM), ensemble learning, hidden Markov model, and some other conventional method like rough set, decision tree, K-nearest neighbour.