Session B4: Supervised Learning 1

14 Dec 2016
11:00-13:00
Room A2+A3

Session B4: Supervised Learning 1

Session Chair: George Karypis (University of Minnesota, USA)

REGULAR PAPERS:

DM850 “Asynchronous Multi-Task Learning”
Inci Baytas, Ming Yan, Anil Jain, and Jiayu Zhou

DM883 “Interactive Multi-Task Relationship Learning”
Kaixiang Lin and Jiayu Zhou

SHORT PAPERS:

DM433 “Functional Regression with Mode-Sparsity Constraint”
Pei Yang and Jingrui He

DM379 “Learning Supervised Binary Hashing: Optimization vs Diversity”
Ramin Raziperchikolaei and Miguel Carreira-Perpinan

DM732 “Bayesian Rule Sets for Interpretable Classification”
Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille

DM789 “Probabilistic Formulations of Regression with Mixed Guidance”
Aubrey Gress and Ian Davidson

DM1005 “Background Check: A general technique to build more reliable and versatile classifiers”
Miquel Nieto, Telmo Silva Filho, Meelis Kull, and Peter Flach

DM1026 “Optimizing the Multi-class F-measure via Biconcave Programming”
Weiwei Pan, Harikrishna Narasimhan, Purushottam Kar, Pavlos Protopapas, and Harish Ramaswamy

DM1084 “A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses”
Matteo Ruggero Ronchi, Joon Sik Kim, and Yisong Yue