Papers
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 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
Active Learning by Querying Informative and Representative Examples
Sheng-jun Huang, Rong Jin, Zhi-Hua Zhou
Active Sequential Learning with Tactile Feedback
Hannes Saal, Jo–Anne Ting, Sethu Vijayakumar
Adaptive Multi-Task Lasso: with Application to eQTL Detection
Seunghak Lee, Jun Zhu, Eric P. Xing
Adaptive Step-size Policy Gradients with Average Reward Metric
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto
A Dirty Model for Multi-task Learning
Ali Jalali, Sujay Sanghavi, Chao Ruan et al.
A Discriminative Latent Model of Image Region and Object Tag Correspondence
Yang Wang, Greg Mori
A Family of Penalty Functions for Structured Sparsity
Jean Morales, Charles A. Micchelli, Massimiliano Pontil
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression
Jianing Shi, Wotao Yin, Stanley Osher et al.
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
A Generalized Path Integral Control Approach to Reinforcement Learning
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
Agnostic Active Learning Without Constraints
Alina Beygelzimer, Daniel J. Hsu, John Langford et al.
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
Ji Won Yoon, Simon Wilson, K. Hun Mok