4578 search results - page 226 / 916 » Learning from Multi-source Data |
140
click to vote
ESANN
2006
15 years 4 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
116
click to vote
PKDD
2010
Springer
15 years 25 days ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
135
Voted
ACCV
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
134
click to vote
GECCO
2005
Springer
15 years 8 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
123
click to vote
ACL
2006
15 years 4 months ago
2006
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...