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Papers

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Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco
2012 NIPS
Learning Mixtures of Tree Graphical Models
Anima Anandkumar, Daniel J. Hsu, Furong Huang et al.
2012 NIPS
2012 NIPS
Learning Networks of Heterogeneous Influence
Nan Du, Le Song, Ming Yuan et al.
2012 NIPS
Learning optimal spike-based representations
Ralph Bourdoukan, David Barrett, Sophie Deneve et al.
2012 NIPS
Learning Temporal Association Rules on Symbolic Time Sequences
Mathieu Guillame-Bert, James L. Crowley
2012 ACML
Learning the Dependency Structure of Latent Factors
Yunlong He, Yanjun Qi, Koray Kavukcuoglu et al.
2012 NIPS
Learning to Align from Scratch
Gary Huang, Marwan Mattar, Honglak Lee et al.
2012 NIPS
Learning to Discover Social Circles in Ego Networks
Jure Leskovec, Julian J. Mcauley
2012 NIPS
Learning Valuation Functions
Maria Florina Balcan, Florin Constantin, Satoru Iwata et al.
2012 COLT
Learning visual motion in recurrent neural networks
Marius Pachitariu, Maneesh Sahani
2012 NIPS
Learning with Partially Absorbing Random Walks
Xiao-ming Wu, Zhenguo Li, Anthony M. So et al.
2012 NIPS
Learning with Recursive Perceptual Representations
Oriol Vinyals, Yangqing Jia, Li Deng et al.
2012 NIPS
Learning with Target Prior
Zuoguan Wang, Siwei Lyu, Gerwin Schalk et al.
2012 NIPS
Lifted coordinate descent for learning with trace-norm regularization
Miroslav Dudik, Zaid Harchaoui, Jerome Malick
2012 AISTATS
Lifted Linear Programming
Martin Mladenov, Babak Ahmadi, Kristian Kersting
2012 AISTATS
Lifted Variable Elimination with Arbitrary Constraints
Nima Taghipour, Daan Fierens, Jesse Davis et al.
2012 AISTATS
Linear Fitted-Q Iteration with Multiple Reward Functions
Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
2012 JMLR
Linear Regression With Random Projections
Odalric-Ambrym Maillard, Rémi Munos
2012 JMLR
Link Prediction in Graphs with Autoregressive Features
Emile Richard, Stephane Gaiffas, Nicolas Vayatis
2012 NIPS