Papers
173,579 papers found
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction
Hua Wang, Feiping Nie, Heng Huang et al.
High-Rank Matrix Completion
Brian Eriksson, Laura Balzano, Robert Nowak
History-alignment models for bias-aware prediction of virological response to HIV combination therapy
Jasmina Bogojeska, Daniel Stockel, Maurizio Zazzi et al.
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
Stefan Habenschuss, Johannes Bill, Bernhard Nessler
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
Yanping Huang, Timothy Hanks, Mike Shadlen et al.
How They Vote: Issue-Adjusted Models of Legislative Behavior
Sean Gerrish, David M. Blei
Human Gesture Recognition on Product Manifolds
Yui Man Lui
Human memory search as a random walk in a semantic network
Joseph L. Austerweil, Joshua T. Abbott, Thomas L. Griffiths
Hybrid Operational Space Control for Compliant Legged Systems
Marco Hutter, Mark Hoepflinger, Christian Gehring et al.
Identifiability and Unmixing of Latent Parse Trees
Daniel J. Hsu, Sham M. Kakade, Percy Liang
Identification of Recurrent Patterns in the Activation of Brain Networks
Firdaus Janoos, Weichang Li, Niranjan Subrahmanya et al.
Image Denoising and Inpainting with Deep Neural Networks
Junyuan Xie, Linli Xu, Enhong Chen
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
Imitation Learning by Coaching
He He, Jason Eisner, Hal Daume
Improved Sequence Classification Using Adaptive Segmental Sequence Alignment
Shahriar Shariat, Vladimir Pavlovic
Inference on networks of mixtures for robust robot mapping
Edwin Olson, Pratik Agarwal
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Sarkka, Jouni Hartikainen
Information Theoretic Model Validation for Spectral Clustering
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Lujan, Gavin Brown
Integrating a Partial Model into Model Free Reinforcement Learning
Aviv Tamar, Dotan Di Castro, Ron Meir
Interpreting prediction markets: a stochastic approach
Rafael M. Frongillo, Nicolas Della Penna, Mark D. Reid
Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, Bilal Piot et al.
Isotropic Hashing
Weihao Kong, Wu-jun Li
Iterative ranking from pair-wise comparisons
Sahand Negahban, Sewoong Oh, Devavrat Shah