Semi-supervised classification trees

Random Forest Construction With Robust Semisupervised Node Splitting

(2015) Xiao Liu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome

(2015) Clara Higuera et al.   PLoS One

Quantitative Structure–Activity Relationship Models for Ready Biodegradability of Chemicals

(2013) Kamel Mansouri et al.   Journal of Chemical Information and Modeling

Accurate Models for P-gp Drug Recognition Induced from a Cancer Cell Line Cytotoxicity Screen

(2013) Jurica Levatić et al.   JOURNAL OF MEDICINAL CHEMISTRY

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

(2013) Isaac Triguero et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Tree ensembles for predicting structured outputs

(2012) Dragi Kocev et al.   PATTERN RECOGNITION

Robust and Scalable Graph-Based Semisupervised Learning

(2012) Wei Liu et al.   PROCEEDINGS OF THE IEEE

Chemical gas sensor drift compensation using classifier ensembles

(2012) Alexander Vergara et al.   SENSORS AND ACTUATORS B-CHEMICAL

Finding explained groups of time-course gene expression profiles with predictive clustering trees

(2010) Ivica Slavkov et al.   Molecular BioSystems

A relational approach to probabilistic classification in a transductive setting

(2008) Donato Malerba et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Decision trees for hierarchical multi-label classification

(2008) Celine Vens et al.   MACHINE LEARNING