Papers
7,296 papers found
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman
Map-Reduce for Machine Learning on Multicore
Cheng-tao Chu, Sang K. Kim, Yi-an Lin et al.
Differential Entropic Clustering of Multivariate Gaussians
Jason V. Davis, Inderjit S. Dhillon
Multi-dynamic Bayesian Networks
Karim Filali, Jeff A. Bilmes
MLLE: Modified Locally Linear Embedding Using Multiple Weights
Zhenyue Zhang, Jing Wang
Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai, Christopher Williams
Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama et al.
Multiple-Instance Active Learning
Burr Settles, Mark Craven, Soumya Ray
Semi-Supervised Multitask Learning
Qiuhua Liu, Xuejun Liao, Lawrence Carin
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves, Jürgen Schmidhuber
Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer, Brian Milch, Leslie P. Kaelbling
Mortal Multi-Armed Bandits
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski et al.
Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin et al.
Multi-Label Prediction via Compressed Sensing
Daniel J. Hsu, Sham M. Kakade, John Langford et al.
Perceptual Multistability as Markov Chain Monte Carlo Inference
Samuel Gershman, Ed Vul, Joshua B. Tenenbaum
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
Tao Hu, Anthony Leonardo, Dmitri B. Chklovskii
Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Pavel Laskov et al.
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih R. Amini, Nicolas Usunier, Cyril Goutte
A Dirty Model for Multi-task Learning
Ali Jalali, Sujay Sanghavi, Chao Ruan et al.
Label Embedding Trees for Large Multi-Class Tasks
Samy Bengio, Jason Weston, David Grangier
Large Margin Multi-Task Metric Learning
Shibin Parameswaran, Kilian Q. Weinberger
The Multidimensional Wisdom of Crowds
Peter Welinder, Steve Branson, Pietro Perona et al.
Multi-View Active Learning in the Non-Realizable Case
Wei Wang, Zhi-Hua Zhou
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
Yi Zhang, Jeff G. Schneider