Classification

ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Improved Sequence Classification Using Adaptive Segmental Sequence Alignment ACML 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012 Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012 Kernel Latent SVM for Visual Recognition NeurIPS 2012 Key Instance Detection in Multi-Instance Learning ACML 2012 Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NeurIPS 2012 Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NeurIPS 2012 Learning Algorithms for the Classification Restricted Boltzmann Machine JMLR 2012 Learning as MAP Inference in Discrete Graphical Models NeurIPS 2012 Learning from Distributions via Support Measure Machines NeurIPS 2012 Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NeurIPS 2012 Learning Label Trees for Probabilistic Modelling of Implicit Feedback NeurIPS 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Local and Global Scaling Reduce Hubs in Space JMLR 2012 Local Anomaly Detection AISTATS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012