R. S. Milton

The Variable Precision Rough Set Inductive Logic Programming Model — a Statistical Relational Learning Perspective

V. Uma Maheswari, Arul Siromoney, R. S. Milton, 2001 .

The Variable Precision Rough Set Inductive Logic Programming Model and Predictive Toxicology

R. S. Milton, Arul Siromoney, V. Maheswari, 2003 .

A Survey of Emotion Analysis

S. Hannah, R. S. Milton, S. Deborah, 2016 .

Probability Measures for Prediction in Multi-table Infomation Systems

R. S. Milton, V. Uma Maheswari, Arul Siromoney, 2005, PReMI.

Studies on Rough Sets in Multiple Tables

R. S. Milton, V. Uma Maheswari, Arul Siromoney, 2005, RSFDGrC.

Rough Sets and Relational Learning

R. S. Milton, V. Uma Maheswari, Arul Siromoney, 2004, Trans. Rough Sets.

Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems

T. T. Mirnalinee, Rajalakshmi Sivanaiah, R. Sakaya Milton, 2020, Intell. Data Anal..

A probabilistic logic approach to outcome prediction in team games using historical data and domain knowledge

R. S. Milton, M. Saritha, R. S. Milton, 2020, J. Ambient Intell. Humaniz. Comput..

RETRACTED ARTICLE: A probabilistic logic approach to outcome prediction in team games using historical data and domain knowledge

R. S. Milton, M. Saritha, 2020, Journal of Ambient Intelligence and Humanized Computing.

Improving the Performance of Neural Machine Translation Involving Morphologically Rich Languages pdf

R. S. Milton, Hans Krupakar, R. S. Milton, 2016, ArXiv.

Evaluation of semantic role labeling based on lexical features using conditional random fields and support vector machine

R. S. Milton, K. Ravidhaa, S. Radha Meena, 2013, 2013 International Conference on Recent Trends in Information Technology (ICRTIT).