Papers
176,624 papers found
Large Margin Semi-supervised Learning
Junhui Wang, Xiaotong Shen
Learnability of Gaussians with Flexible Variances
Yiming Ying, Ding-Xuan Zhou
Learning and using relational theories
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
Learning Bounds for Domain Adaptation
John Blitzer, Koby Crammer, Alex Kulesza et al.
Learning Equivariant Functions with Matrix Valued Kernels
Marco Reisert, Hans Burkhardt
Learning Horizontal Connections in a Sparse Coding Model of Natural Images
Pierre Garrigues, Bruno A. Olshausen
Learning Horn Expressions with LOGAN-H
Marta Arias, Roni Khardon, Jérôme Maloberti
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners
Marlon Núñez, Raúl Fidalgo, Rafael Morales
Learning Monotonic Transformations for Classification
Andrew Howard, Tony Jebara
Learning omnidirectional path following using dimensionality reduction
J. Zico Kolter and Andrew Ng
Learning the 2-D Topology of Images
Nicolas L. Roux, Yoshua Bengio, Pascal Lamblin et al.
Learning the structure of manifolds using random projections
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra et al.
Learning to classify complex patterns using a VLSI network of spiking neurons
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
Learning to Classify Ordinal Data: The Data Replication Method
Jaime S. Cardoso, Joaquim F. Pinto da Costa
Learning Visual Attributes
Vittorio Ferrari, Andrew Zisserman
Learning with Transformation Invariant Kernels
Christian Walder, Olivier Chapelle
Learning with Tree-Averaged Densities and Distributions
Sergey Kirshner
Linear programming analysis of loopy belief propagation for weighted matching
Sujay Sanghavi, Dmitry Malioutov, Alan S. Willsky
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
Kyomin Jung, Devavrat Shah
Local Discriminant Wavelet Packet Coordinates for Face Recognition
Chao-Chun Liu, Dao-Qing Dai, Hong Yan
Locality and low-dimensions in the prediction of natural experience from fMRI
Francois Meyer, Greg Stephens
Loop Corrections for Approximate Inference on Factor Graphs
Joris M. Mooij, Hilbert J. Kappen
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Alan S. Willsky, Erik B. Sudderth, Martin J. Wainwright
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Gerald Tesauro, Rajarshi Das, Hoi Chan et al.
Map-Based Precision Vehicle Localization in Urban Environments
Jesse Levinson, Michael Montemerlo, and Sebastian Thrun