Multi-target regression via input space expansion: treating targets as inputs

A Dirty Model for Multiple Sparse Regression

(2013) Ali Jalali et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Efficient monte carlo methods for multi-dimensional learning with classifier chains

(2013) Jesse Read et al.   PATTERN RECOGNITION

Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

(2012) Athanasios Tsanas et al.   ENERGY AND BUILDINGS

On label dependence and loss minimization in multi-label classification

(2012) Krzysztof Dembczyński et al.   MACHINE LEARNING

Multilabel Classification with Principal Label Space Transformation

(2012) Farbound Tai et al.   NEURAL COMPUTATION

Classifier chains for multi-label classification

(2011) Jesse Read et al.   MACHINE LEARNING

Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition

(2009) Dragi Kocev et al.   ECOLOGICAL MODELLING

Combining instance-based learning and logistic regression for multilabel classification

(2009) Weiwei Cheng et al.   MACHINE LEARNING

Joint covariate selection and joint subspace selection for multiple classification problems

(2009) Guillaume Obozinski et al.   STATISTICS AND COMPUTING

An empirical study on sea water quality prediction

(2008) Evaggelos V. Hatzikos et al.   KNOWLEDGE-BASED SYSTEMS

Convex multi-task feature learning

(2008) Andreas Argyriou et al.   MACHINE LEARNING