Papers
173,579 papers found
MULAN: A Java Library for Multi-Label Learning
Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Jozef Vilcek et al.
Multi-armed bandits on implicit metric spaces
Aleksandrs Slivkins
Multi-Bandit Best Arm Identification
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.
Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian, Nuno Vasconcelos
Multiclass Learnability and the ERM principle
Amit Daniely, Sivan Sabato, Shai Ben-David et al.
Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu, Alexander Ihler
Multi-label Active Learning with Auxiliary Learner
Chen-Wei Hung, Hsuan-Tien Lin
Multi-label Classification with Error-correcting Codes
Chung-Sung Ferng, Hsuan-Tien Lin
Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang, Jeff Schneider
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic et al.
Multiple Instance Filtering
Kamil A. Wnuk, Stefano Soatto
Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si et al.
Multiple Kernel Learning Algorithms
Mehmet Gönen, Ethem Alpaydin
Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur Parikh, Le Song et al.
Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster, Lyle H. Ungar
Natural Language Processing (Almost) from Scratch
Ronan Collobert, Jason Weston, Léon Bottou et al.
Nearest Neighbor based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar, Ambuj Tewari
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney et al.
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P. Reichert, Peggy Series, Amos J. Storkey
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan, Satyen Kale
Neyman-Pearson Classification, Convexity and Stochastic Constraints
Philippe Rigollet, Xin Tong
Neyman-Pearson classification under a strict constraint
Philippe Rigollet, Xin Tong
Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy et al.