classification accuracy

Measures of distortion for machine learning NeurIPS 2018 Spectral Feature Scaling Method for Supervised Dimensionality Reduction IJCAI 2018 The Retroflex-dental Contrast in Punjabi Stops and Nasals: A Principal Component Analysis of Ultrasound Images Interspeech 2018 Data Driven Resource Allocation for Distributed Learning AISTATS 2017 Improving Classification Accuracy of Feedforward Neural Networks for Spiking Neuromorphic Chips IJCAI 2017 On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016 Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective Interspeech 2016 Boosting Algorithms for Detector Cascade Learning JMLR 2014 Discriminative Ferns Ensemble for Hand Pose Recognition CVPR 2014 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Accuracy at the Top NeurIPS 2012 Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012 Local and Global Scaling Reduce Hubs in Space JMLR 2012 A Theory of Multiclass Boosting NeurIPS 2010 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems JMLR 2005 FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples JMLR 2003 Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003