Papers
21,849 papers found
GRIFT: A graphical model for inferring visual classification features from human data
Michael Ross, Andrew Cohen
Heterogeneous Component Analysis
Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller et al.
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Z. Kolter, Pieter Abbeel, Andrew Y. Ng
Hierarchical Penalization
Marie Szafranski, Yves Grandvalet, Pierre Morizet-mahoudeaux
Hippocampal Contributions to Control: The Third Way
Máté Lengyel, Peter Dayan
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
Bing Zhao, Eric P. Xing
How SVMs can estimate quantiles and the median
Andreas Christmann, Ingo Steinwart
Incremental Natural Actor-Critic Algorithms
Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee et al.
Inferring Elapsed Time from Stochastic Neural Processes
Misha Ahrens, Maneesh Sahani
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy et al.
Infinite State Bayes-Nets for Structured Domains
Max Welling, Ian Porteous, Evgeniy Bart
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka et al.
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
Michael Gashler, Dan Ventura, Tony Martinez
Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun et al.
Kernels on Attributed Pointsets with Applications
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya et al.
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 Horizontal Connections in a Sparse Coding Model of Natural Images
Pierre Garrigues, Bruno A. Olshausen
Learning Monotonic Transformations for Classification
Andrew Howard, Tony Jebara
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 Visual Attributes
Vittorio Ferrari, Andrew Zisserman
Learning with Transformation Invariant Kernels
Christian Walder, Olivier Chapelle