37 search results - page 1 / 8 » Applying both positive and negative selection to supervised ... |
GECCO
2005
Springer
15 years 4 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...
82
Voted
GECCO
2005
Springer
15 years 4 months ago
2005
Springer
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
ICIAP
2005
ACM
15 years 11 months ago
2005
ACM
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
104
Voted
NIPS
1997
15 years 6 days ago
1997
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
109
Voted
TIP
2008
14 years 10 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...