Papers
173,579 papers found
Learning DNF Expressions from Fourier Spectrum
Vitaly Feldman
Learning Fourier Sparse Set Functions
Peter Stobbe, Andreas Krause
Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo et al.
Learning From Ordered Sets and Applications in Collaborative Ranking
Truyen Tran, Dinh Phung, Svetha Venkatesh
Learning from the Wisdom of Crowds by Minimax Entropy
Dengyong Zhou, Sumit Basu, Yi Mao et al.
Learning from Weak Teachers
Ruth Urner, Shai Ben David, Ohad Shamir
Learning Functions of Halfspaces Using Prefix Covers
Parikshit Gopalan, Adam R. Klivans, Raghu Meka
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs
Aharon Birnbaum, Shai S. Shwartz
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
Learning Image Descriptors with the Boosting-Trick
Tomasz Trzcinski, Mario Christoudias, Vincent Lepetit et al.
Learning Invariant Representations of Molecules for Atomization Energy Prediction
Grégoire Montavon, Katja Hansen, Siamac Fazli et al.
Learning Label Trees for Probabilistic Modelling of Implicit Feedback
Andriy Mnih, Yee W. Teh
Learning Latent Variable Models by Pairwise Cluster Comparison
Nuaman Asbeh, Boaz Lerner
Learning Linear Cyclic Causal Models with Latent Variables
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Learning Low-order Models for Enforcing High-order Statistics
Patrick Pletscher, Pushmeet Kohli
Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco
Learning Mixtures of Tree Graphical Models
Anima Anandkumar, Daniel J. Hsu, Furong Huang et al.
Learning Multiple Tasks using Shared Hypotheses
Koby Crammer, Yishay Mansour
Learning Networks of Heterogeneous Influence
Nan Du, Le Song, Ming Yuan et al.
Learning optimal spike-based representations
Ralph Bourdoukan, David Barrett, Sophie Deneve et al.
Learning Probability Measures with respect to Optimal Transport Metrics
Guillermo Canas, Lorenzo Rosasco
Learning Symbolic Representations of Hybrid Dynamical Systems
Daniel L. Ly, Hod Lipson
Learning Temporal Association Rules on Symbolic Time Sequences
Mathieu Guillame-Bert, James L. Crowley
Learning the Architecture of Sum-Product Networks Using Clustering on Variables
Aaron Dennis, Dan Ventura