Papers
173,579 papers found
Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Variable Sparsity Kernel Learning
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya et al.
Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy, Tony Jebara
Variance Reduction in Monte-Carlo Tree Search
Joel Veness, Marc Lanctot, Michael Bowling
Variational Gaussian Process Dynamical Systems
Andreas Damianou, Michalis K. Titsias, Neil D. Lawrence
Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner
Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
Visual Segmentation of Simple Objects for Robots
Ajay Mishra, Yiannis Aloimonos
Waffles: A Machine Learning Toolkit
Michael Gashler
Weisfeiler-Lehman Graph Kernels
Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen et al.
Why The Brain Separates Face Recognition From Object Recognition
Joel Z. Leibo, Jim Mutch, Tomaso Poggio
A Bayesian Approach to Concept Drift
Stephen Bach, Mark Maloof
A Bayesian Framework for Figure-Ground Interpretation
Vicky Froyen, Jacob Feldman, Manish Singh
A biologically plausible network for the computation of orientation dominance
Kritika Muralidharan, Nuno Vasconcelos
Accounting for network effects in neuronal responses using L1 regularized point process models
Ryan Kelly, Matthew Smith, Robert Kass et al.
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
Albert Bifet, Eibe Frank, Geoffrey Holmes et al.
A Comparison of Features for Automatic Readability Assessment
Lijun Feng, Martin Jansche, Matt Huenerfauth et al.
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh et al.
A Computational Decision Theory for Interactive Assistants
Alan Fern, Prasad Tadepalli
A Constant-Time Algorithm for Vector Field SLAM using an Exactly Sparse Extended Information Filter
J.-S. Gutmann, E. Eade, P. Fong and M. Munich
A Convergent Online Single Time Scale Actor Critic Algorithm
Dotan Di Castro, Ron Meir
Active Estimation of F-Measures
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Learning Applied to Patient-Adaptive Heartbeat Classification
Jenna Wiens, John V. Guttag