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ICASSP
2008
IEEE
14 years 2 months ago
Learning with noisy supervision for Spoken Language Understanding
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
Christian Raymond, G. Riccardfi
COMCOM
2008
135views more  COMCOM 2008»
13 years 7 months ago
Peer-to-peer system-based active worm attacks: Modeling, analysis and defense
Active worms continue to pose major threats to the security of today's Internet. This is due to the ability of active worms to automatically propagate themselves and compromi...
Wei Yu, Sriram Chellappan, Xun Wang, Dong Xuan
ICRA
2008
IEEE
210views Robotics» more  ICRA 2008»
14 years 2 months ago
Toward designing a robot that learns actions from parental demonstrations
— How to teach actions to a robot as well as how a robot learns actions is an important issue to be discussed in designing robot learning systems. Inspired by human parentinfant ...
Yukie Nagai, Claudia Muhl, Katharina J. Rohlfing
CORR
2004
Springer
140views Education» more  CORR 2004»
13 years 7 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...
CEAS
2004
Springer
14 years 1 months ago
Learning to Extract Signature and Reply Lines from Email
: We describe methods for automatically identifying signature blocks and reply lines in plaintext email messages. This analysis has many potential applications, such as preprocessi...
Vitor Rocha de Carvalho, William W. Cohen