2714 search results - page 504 / 543 » Machine Learning for Information Extraction |
SGAI
2007
Springer
14 years 2 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
SUM
2007
Springer
14 years 2 months ago
2007
Springer
Schema matching is the task of matching between concepts describing the meaning of data in various heterogeneous, distributed data sources. With many heuristics to choose from, sev...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
SLSFS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
AUSAI
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...