Papers
176,624 papers found
Unsupervised Feature Selection for the $k$-means Clustering Problem
Christos Boutsidis, Petros Drineas, Michael W. Mahoney
Using Local Dependencies within Batches to Improve Large Margin Classifiers
Volkan Vural, Glenn Fung, Balaji Krishnapuram et al.
Variational Gaussian-process factor analysis for modeling spatio-temporal data
Jaakko Luttinen, Alexander Ilin
Variational Inference for the Nested Chinese Restaurant Process
Chong Wang, David M. Blei
View-based maps
K. Konolige, J. Bowman, J. D. Chen et al.
Which graphical models are difficult to learn?
Andrea Montanari, Jose A. Pereira
White Functionals for Anomaly Detection in Dynamical Systems
Marco Cuturi, Jean-philippe Vert, Alexandre D'aspremont
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation
Jie Luo, Barbara Caputo, Vittorio Ferrari
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
Jacob Whitehill, Ting-fan Wu, Jacob Bergsma et al.
Zero-shot Learning with Semantic Output Codes
Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton et al.
A Bahadur Representation of the Linear Support Vector Machine
Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim et al.
Abstractions and Algorithms for Cooperative Multiple Robot Planar Manipulation
Peng Cheng, Jonathan Fink, Vijay Kumar
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino Gomez, Jürgen Schmidhuber, Risto Miikkulainen
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Ben Calderhead, Mark Girolami, Neil D. Lawrence
A computational model of hippocampal function in trace conditioning
Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek et al.
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation
Richard S. Sutton, Hamid R. Maei, Csaba Szepesvári
A Convex Upper Bound on the Log-Partition Function for Binary Distributions
Laurent E. Ghaoui, Assane Gueye
Active Learning by Spherical Subdivision
Falk-Florian Henrich, Klaus Obermayer
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
Yang-Bo He, Zhi Geng
Adapting to a Market Shock: Optimal Sequential Market-Making
Sanmay Das, Malik Magdon-Ismail
Adaptive Body Scheme Models for Robust Robotic Manipulation
Juergen Sturm, Christian Plagemann, Wolfram Burgard
Adaptive Martingale Boosting
Phil Long, Rocco Servedio
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné, Lucas C. Parra