243 search results - page 5 / 49 » Learning Classifiers from Distributed, Ontology-Extended Dat... |
AAAI
2011
12 years 7 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
DEXA
2004
Springer
14 years 26 days ago
2004
Springer
Data integration is a significant challenge: relevant data objects are split across multiple information sources, and often owned by different organizations. The sources represent...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper proposes a system architecture for event recognition that integrates information from multiple sources (e.g., gesture and speech recognition from distributed sensors in...
ICTAI
2005
IEEE
14 years 1 months ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...