Most Cited Articles of Loss function

CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choiceNucleic Acids Research199452.6K
Deep learningNature201531.1K
Optimization by simulated annealingScience198326.9K
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces199714.3K
A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering196014K
Hierarchical Grouping to Optimize an Objective FunctionJournal of the American Statistical Association196310.7K
Stochastic relaxation, gibbs distributions, and the bayesian restoration of imagesIEEE Transactions on Pattern Analysis and Machine Intelligence19849.6K
A Tutorial on Support Vector Machines for Pattern Recognition19989K
Primer3 on the WWW for general users and for biologist programmersMethods in Molecular Biology20008.6K
A Decision-Theoretic Generalization of On-Line Learning and an Application to BoostingJournal of Computer and System Sciences19978K
Greedy function approximation: A gradient boosting machine.Annals of Statistics20017.8K
Learning the parts of objects by non-negative matrix factorizationNature19997.4K
Unified segmentationNeuroImage20055.6K
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse ProblemsSIAM Journal on Imaging Sciences20095.5K
A tutorial on support vector regressionStatistics and Computing20045.4K
A fast diffeomorphic image registration algorithmNeuroImage20075.3K
Image-to-Image Translation with Conditional Adversarial Networks20174.9K
Data clustering: 50 years beyond K-meansPattern Recognition Letters20104.8K
Tensor Decompositions and ApplicationsSIAM Review20094.7K
A survey on deep learning in medical image analysisMedical Image Analysis20174.7K
A tutorial on spectral clusteringStatistics and Computing20074.7K
MOEA/D: A Multiobjective Evolutionary Algorithm Based on DecompositionIEEE Transactions on Evolutionary Computation20074.6K
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programmingMathematical Programming20064.4K
Training feedforward networks with the Marquardt algorithmIEEE Transactions on Neural Networks19944.3K