Papers
5,893 papers found
Clustered Multi-Task Learning Via Alternating Structure Optimization
Jiayu Zhou, Jianhui Chen, Jieping Ye
Confidence Sets for Network Structure
David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi
Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama, Aapo Hyvärinen
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
Nico Goernitz, Christian K. Widmer, Georg Zeller et al.
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T. Pham, Tat-jun Chin, Jin Yu et al.
Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo et al.
Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Li, Eric P. Xing
$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
Congcong Li, Ashutosh Saxena, Tsuhan Chen
On the accuracy of l1-filtering of signals with block-sparse structure
Fatma K. Karzan, Arkadi S. Nemirovski, Boris T. Polyak et al.
Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si et al.
Structured sparse coding via lateral inhibition
Arthur D. Szlam, Karol Gregor, Yann L. Cun
Sparse Estimation with Structured Dictionaries
David P. Wipf
Pylon Model for Semantic Segmentation
Victor Lempitsky, Andrea Vedaldi, Andrew Zisserman
Greedy Algorithms for Structurally Constrained High Dimensional Problems
Ambuj Tewari, Pradeep K. Ravikumar, Inderjit S. Dhillon
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task
Jenna Wiens, Eric Horvitz, John V. Guttag
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar, Hal Daume
Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, Bilal Piot et al.
Structured Learning of Gaussian Graphical Models
Karthik Mohan, Mike Chung, Seungyeop Han et al.
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-ling Loh, Martin J. Wainwright
Cocktail Party Processing via Structured Prediction
Yuxuan Wang, Deliang Wang
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Pietro D. Lena, Ken Nagata, Pierre F. Baldi
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
Du Tran, Junsong Yuan
Unsupervised Structure Discovery for Semantic Analysis of Audio
Sourish Chaudhuri, Bhiksha Raj
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
Abner Guzmán-rivera, Dhruv Batra, Pushmeet Kohli
Learning the Dependency Structure of Latent Factors
Yunlong He, Yanjun Qi, Koray Kavukcuoglu et al.