Papers
7,296 papers found
Probabilistic Multi-Task Feature Selection
Yu Zhang, Dit-Yan Yeung, Qian Xu
Multiple Kernel Learning and the SMO Algorithm
Zhaonan Sun, Nawanol Ampornpunt, Manik Varma et al.
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
Eiji Mizutani, Stuart Dreyfus
Multitask Learning without Label Correspondences
Novi Quadrianto, James Petterson, Tibério S. Caetano et al.
Reverse Multi-Label Learning
James Petterson, Tibério S. Caetano
Avoiding False Positive in Multi-Instance Learning
Yanjun Han, Qing Tao, Jue Wang
Multi-Stage Dantzig Selector
Ji Liu, Peter Wonka, Jieping Ye
On the Analysis of Multi-Channel Neural Spike Data
Bo Chen, David E. Carlson, Lawrence Carin
Maximum Margin Multi-Instance Learning
Hua Wang, Heng Huang, Farhad Kamangar et al.
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic et al.
Metric Learning with Multiple Kernels
Jun Wang, Huyen T. Do, Adam Woznica et al.
Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian, Nuno Vasconcelos
Composite Multiclass Losses
Elodie Vernet, Mark D. Reid, Robert C. Williamson
Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai, Hal Daume
Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau
Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster, Lyle H. Ungar
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
Multi-Bandit Best Arm Identification
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.
Multiple Instance Filtering
Kamil A. Wnuk, Stefano Soatto
Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si et al.
Submodular Multi-Label Learning
James Petterson, Tibério S. Caetano
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan, Satyen Kale
Transfer from Multiple MDPs
Alessandro Lazaric, Marcello Restelli
Topic-Partitioned Multinetwork Embeddings
Peter Krafft, Juston Moore, Bruce Desmarais et al.
Convex Multi-view Subspace Learning
Martha White, Xinhua Zhang, Dale Schuurmans et al.