Papers
MULTIBOOST: A Multi-purpose Boosting Package
Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande et al.
Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely, Sivan Sabato, Shai S. Shwartz
Multiclass Learning with Simplex Coding
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco et al.
Multi-criteria Anomaly Detection using Pareto Depth Analysis
Ko-jen Hsiao, Kevin Xu, Jeff Calder et al.
Multi-Instance Learning with Any Hypothesis Class
Sivan Sabato, Naftali Tishby
Multi Kernel Learning with Online-Batch Optimization
Francesco Orabona, Luo Jie, Barbara Caputo
Multilabel Classification using Bayesian Compressed Sensing
Ashish Kapoor, Raajay Viswanathan, Prateek Jain
Multi-label Subspace Ensemble
Tianyi Zhou, Dacheng Tao
Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava, Ruslan Salakhutdinov
Multi-objective Monte-Carlo Tree Search
Weijia Wang, Michèle Sebag
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
Abner Guzmán-rivera, Dhruv Batra, Pushmeet Kohli
Multiple Operator-valued Kernel Learning
Hachem Kadri, Alain Rakotomamonjy, Philippe Preux et al.
Multiple Texture Boltzmann Machines
Jyri Kivinen, Christopher Williams
Multiplicative Forests for Continuous-Time Processes
Jeremy Weiss, Sriraam Natarajan, David Page
Multiresolution analysis on the symmetric group
Risi Kondor, Walter Dempsey
Multiresolution Deep Belief Networks
Yichuan Tang, Abdel-Rahman Mohamed
Multiresolution Gaussian Processes
Emily B. Fox, David B. Dunson
Multiresolution Mixture Modeling using Merging of Mixture Components
Prem Raj Adhikari, Jaakko Hollmén
Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA
C. M. Niu, Sirish Nandyala, Won J. Sohn et al.
Multi-Stage Classifier Design
Kirill Trapeznikov, Venkatesh Saligrama, David Castañón
Multi-stage micro rockets for robotic insects
Mirko Kovac, Maria Bendana, Rohit Krishnan et al.
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Chang-shui Zhang
Multi-Target Regression with Rule Ensembles
Timo Aho, Bernard Ženko, Sašo Džeroski et al.
Multi-Task Averaging
Sergey Feldman, Maya Gupta, Bela Frigyik
Multi-task Regression using Minimal Penalties
Matthieu Solnon, Sylvain Arlot, Francis Bach