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Papers

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Affine trajectory deformation for redundant manipulators
Quang-Cuong Pham, Yoshihiko Nakamura
2012 RSS
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
Avneesh Saluja, Priya Krishnan Sundararajan, Ole J Mengshoel
2012 AISTATS
A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou et al.
2012 AISTATS
2012 NIPS
A Geometric Approach to Sample Compression
Benjamin I.P. Rubinstein, J. Hyam Rubinstein
2012 JMLR
A Geometric take on Metric Learning
Søren Hauberg, Oren Freifeld, Michael J. Black
2012 NIPS
A Hybrid Neural Network-Latent Topic Model
Li Wan, Leo Zhu, Rob Fergus
2012 AISTATS
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels
Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao et al.
2012 ACML
A Kernel Two-Sample Test
Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch et al.
2012 JMLR
A latent factor model for highly multi-relational data
Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes et al.
2012 NIPS
A lattice filter model of the visual pathway
Karol Gregor, Dmitri B. Chklovskii
2012 NIPS
Algebraic Geometric Comparison of Probability Distributions
Franz J. Király, Paul von Bünau, Frank C. Meinecke et al.
2012 JMLR
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012 JMLR
Algorithms for Learning Markov Field Policies
Abdeslam Boularias, Jan R. Peters, Oliver B. Kroemer
2012 NIPS
A Linear Time Active Learning Algorithm for Link Classification
Nicolò Cesa-bianchi, Claudio Gentile, Fabio Vitale et al.
2012 NIPS
2012 NIPS
A Method of Moments for Mixture Models and Hidden Markov Models
Animashree Anandkumar, Daniel Hsu, Sham M. Kakade
2012 COLT
A metric learning perspective of SVM: on the relation of LMNN and SVM
Huyen Do, Alexandros Kalousis, Jun Wang et al.
2012 AISTATS
2012 JMLR
Analog readout for optical reservoir computers
Anteo Smerieri, François Duport, Yvon Paquot et al.
2012 NIPS
2012 JMLR