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» Margin based Active Learning for LVQ Networks
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ACL
2010
13 years 5 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
ICML
2005
IEEE
14 years 8 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
DANCE
2002
IEEE
14 years 17 days ago
Active Network Vision and Reality: Lessons from a Capsule-Based System
Although active networks have generated much debate in the research community, on the whole there has been little hard evidence to inform this debate. This paper aims to redress t...
David Wetherall
MICCAI
2002
Springer
14 years 8 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...