171 search results - page 6 / 35 » A Boosting Approach to Multiple Instance Learning |
KELSI
2004
Springer
14 years 1 months ago
2004
Springer
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
HAIS
2010
Springer
13 years 5 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
CIVR
2005
Springer
14 years 1 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
ISVC
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...