Papers
173,579 papers found
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features
Gil Tahan, Lior Rokach, Yuval Shahar
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
Wei Bi, James T. Kwok
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning
Sangkyun Lee, Stephen J. Wright
MAP Inference in Chains using Column Generation
David Belanger, Alexandre Passos, Sebastian Riedel et al.
Marginal Regression For Multitask Learning
Mladen Kolar, Han Liu
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
Martin Schiegg, Marion Neumann, Kristian Kersting
Matrix reconstruction with the local max norm
Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov
Maximum Margin Temporal Clustering
Minh Hoai, Fernando De La Torre
Max-Margin Min-Entropy Models
Kevin Miller, M. Pawan Kumar, Ben Packer et al.
Max-Margin Ratio Machine
Suicheng Gu, Yuhong Guo
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
Du Tran, Junsong Yuan
MCMC for continuous-time discrete-state systems
Vinayak Rao, Yee W. Teh
MedLDA: Maximum Margin Supervised Topic Models
Jun Zhu, Amr Ahmed, Eric P. Xing
Memorability of Image Regions
Aditya Khosla, Jianxiong Xiao, Antonio Torralba et al.
Memory-efficient inference in dynamic graphical models using multiple cores
Galen Andrew, Jeff Bilmes
Meta-Gaussian Information Bottleneck
Melanie Rey, Volker Roth
Metric and Kernel Learning Using a Linear Transformation
Prateek Jain, Brian Kulis, Jason V. Davis et al.
Minimal Coordinate Formulation of Contact Dynamics in Operational Space
Abhinandan Jain, Cory Crean, Calvin Kuo et al.
Minimax hypothesis testing for curve registration
Olivier Collier
Minimax Manifold Estimation
Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli et al.
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Nishant Mehta, Dongryeol Lee, Alexander G. Gray
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Minimax rates for homology inference
Sivaraman Balakrishnan, Alesandro Rinaldo, Don Sheehy et al.
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Vu, Jing Lei
Minimization of Continuous Bethe Approximations: A Positive Variation
Jason Pacheco, Erik B. Sudderth