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SEMWEB
2010
Springer
15 years 2 months ago
Enhancing the Open-Domain Classification of Named Entity Using Linked Open Data
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
Yuan Ni, Lei Zhang, Zhaoming Qiu, Chen Wang
AICOM
2008
146views more  AICOM 2008»
15 years 4 months ago
Domain action classification using a maximum entropy model in a schedule management domain
Since speaker's intentions can be represented into domain actions (pairs of domain-independent speech acts and domain-dependent concept sequences) in goal-oriented dialogues,...
Hyunjung Lee, Harksoo Kim, Jungyun Seo
UIST
2006
ACM
15 years 10 months ago
Using a low-cost electroencephalograph for task classification in HCI research
Modern brain sensing technologies provide a variety of methods for detecting specific forms of brain activity. In this paper, we present an initial step in exploring how these tec...
Johnny Chung Lee, Desney S. Tan
CIARP
2009
Springer
15 years 8 months ago
Pigmented Skin Lesions Classification Using Dermatoscopic Images
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...
Germán Capdehourat, Andrés Corez, An...
HIS
2003
15 years 6 months ago
Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR
Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acquisition technique that produces representations, or knowledge maps, of a human expert’s ...
Richard Dazeley, Byeong Ho Kang