Papers
184,605 papers found
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet et al.
Kernel Methods for Deep Learning
Youngmin Cho, Lawrence K. Saul
Kernels and learning curves for Gaussian process regression on random graphs
Peter Sollich, Matthew Urry, Camille Coti
Know Thy Neighbour: A Normative Theory of Synaptic Depression
Jean-pascal Pfister, Peter Dayan, Máté Lengyel
Label Selection on Graphs
Andrew Guillory, Jeff A. Bilmes
Large scale graph-based SLAM using aerial images as prior information
R. Kummerle, B. Steder, C. Dornhege et al.
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
Finale Doshi-velez, Shakir Mohamed, Zoubin Ghahramani et al.
Lattice Regression
Eric Garcia, Maya Gupta
Learning Acyclic Probabilistic Circuits Using Test Paths
Dana Angluin, James Aspnes, Jiang Chen et al.
Learning Approximate Sequential Patterns for Classification
Zeeshan Syed, Piotr Indyk, John Guttag
Learning a Small Mixture of Trees
M. P. Kumar, Daphne Koller
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
Shuai Huang, Jing Li, Liang Sun et al.
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
Lei Wu, Rong Jin, Steven C. Hoi et al.
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih R. Amini, Nicolas Usunier, Cyril Goutte
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
Tom Ouyang, Randall Davis
Learning GP-BayesFilters via Gaussian process latent variable models
J. Ko and D. Fox
Learning Halfspaces with Malicious Noise
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
Learning in Markov Random Fields using Tempered Transitions
Ruslan Salakhutdinov
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
Natasha Singh-miller, Michael Collins
Learning Linear Ranking Functions for Beam Search with Application to Planning
Yuehua Xu, Alan Fern, Sungwook Yoon
Learning models of object structure
Joseph Schlecht, Kobus Barnard
Learning Nondeterministic Classifiers
Juan José del Coz, Jorge Díez, Antonio Bahamonde
Learning Non-Linear Combinations of Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Learning of 2D grasping strategies from box-based 3D object approximations
S. Geidenstam, K. Huebner, D. Banksell and D. Kragic
Learning Permutations with Exponential Weights
David P. Helmbold, Manfred K. Warmuth