Papers
176,624 papers found
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Christopher Williams, Stefan Klanke, Sethu Vijayakumar et al.
NanoNewton Force Sensing and Control in Microrobotic Cell Manipulation
Xinyu Liu, Keekyoung Kim, Yong Zhang et al.
Natural Image Denoising with Convolutional Networks
Viren Jain, Sebastian Seung
Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett et al.
Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer, Thomas Jaksch, Ronald Ortner
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Andreas Krause, Ajit Singh, Carlos Guestrin
Nonlinear causal discovery with additive noise models
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij et al.
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan et al.
Non-Parametric Modeling of Partially Ranked Data
Guy Lebanon, Yi Mao
Nonparametric regression and classification with joint sparsity constraints
Han Liu, Larry Wasserman, John D. Lafferty
Non-parametric Regression Between Manifolds
Florian Steinke, Matthias Hein
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Vincent Q. Vu, Bin Yu, Thomas Naselaris et al.
Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter, Yaser Sheikh, Sohaib Khan et al.
Non-stationary dynamic Bayesian networks
Joshua W. Robinson, Alexander J. Hartemink
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves, Jürgen Schmidhuber
On Bootstrapping the ROC Curve
Patrice Bertail, Stéphan J. Clémençcon, Nicolas Vayatis
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein
One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li, Kenneth W. Church, Trevor J. Hastie
Online Learning of Complex Prediction Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon et al.
Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango et al.
Online Optimization in X-Armed Bandits
Sébastien Bubeck, Gilles Stoltz, Csaba Szepesvári et al.
Online Prediction on Large Diameter Graphs
Mark Herbster, Guy Lever, Massimiliano Pontil