Papers
21,849 papers found
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
Yi Sun, Jürgen Schmidhuber, Faustino J. Gomez
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
Kaiming Li, Lei Guo, Carlos Faraco et al.
Inductive Regularized Learning of Kernel Functions
Prateek Jain, Brian Kulis, Inderjit S. Dhillon
Inference and communication in the game of Password
Yang Xu, Charles Kemp
Inference with Multivariate Heavy-Tails in Linear Models
Danny Bickson, Carlos Guestrin
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
Kanaka Rajan, L Abbott, Haim Sompolinsky
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
Morten Mørup, Kristoffer Madsen, Anne-marie Dogonowski et al.
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
Dirk Husmeier, Frank Dondelinger, Sophie Lebre
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains
Martha White, Adam White
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents
Eric Wang, Dehong Liu, Jorge Silva et al.
Joint Cascade Optimization Using A Product Of Boosted Classifiers
Leonidas Lefakis, Francois Fleuret
Kernel Descriptors for Visual Recognition
Liefeng Bo, Xiaofeng Ren, Dieter Fox
Label Embedding Trees for Large Multi-Class Tasks
Samy Bengio, Jason Weston, David Grangier
Large Margin Learning of Upstream Scene Understanding Models
Jun Zhu, Li-jia Li, Li Fei-fei et al.
Large Margin Multi-Task Metric Learning
Shibin Parameswaran, Kilian Q. Weinberger
Large-Scale Matrix Factorization with Missing Data under Additional Constraints
Kaushik Mitra, Sameer Sheorey, Rama Chellappa
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
Diane Hu, Laurens Maaten, Youngmin Cho et al.
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
Deqing Sun, Erik B. Sudderth, Michael J. Black
Layer-wise analysis of deep networks with Gaussian kernels
Grégoire Montavon, Klaus-Robert Müller, Mikio L. Braun
Learning Bounds for Importance Weighting
Corinna Cortes, Yishay Mansour, Mehryar Mohri
Learning concept graphs from text with stick-breaking priors
America Chambers, Padhraic Smyth, Mark Steyvers
Learning Convolutional Feature Hierarchies for Visual Recognition
Koray Kavukcuoglu, Pierre Sermanet, Y-lan Boureau et al.
Learning Efficient Markov Networks
Vibhav Gogate, William Webb, Pedro Domingos
Learning from Candidate Labeling Sets
Jie Luo, Francesco Orabona
Learning from Logged Implicit Exploration Data
Alex Strehl, John Langford, Lihong Li et al.