Multiple-instance learning

Known as: Multiple Instance Learning

In machine learning, multiple-instance learning (MIL) is a variation on supervised learning. Instead of receiving a set of instances which are…

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2016

Keywords: aspect-based sentiment analysis ; attention mechanism ; Document Classification Reference EPFL-CONF-222451 Record…

2015

1 Instituto de Astrofisica, Pontificia Universidad Catolica de Chile, Vicuna Mackenna 4860, Casilla 306, Santiago, Chile e-mail…

2009

Both multiple-instance learning and active learning are widely employed in image categorization, but generally they are applied…

2009

In contemporary contexts of Education for All and emphases on national educational performance, mass education globally continues…

2007

More and more often, public and private universities promote the use of free software in the university community and in the…

2004

In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag’s label is not…

2003

This paper introduces a new evaluation function for solving the multiple instance problem. Our approach makes use of the main…

2002

We present a numerical study of the downstream evolution (mechanical and thermal) of vortex-jet cores whose velocity and…

2001

Research on job satisfaction has a long tradition in Spain (Melia & Peiro, 1989). Determining factors, causes and antecedents of…

1995

When looked at from a multilingual perspective, grapheme-to-phoneme conversion is a challenging task, fraught with most of the…