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IJISTA
2007
124views more  IJISTA 2007»
15 years 4 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
IWCLS
2007
Springer
15 years 11 months ago
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
Abstract. This paper provides a deep insight into the learning mechanisms of UCS, a learning classifier system (LCS) derived from XCS that works under a supervised learning scheme...
Albert Orriols-Puig, Ester Bernadó-Mansilla
EACL
2006
ACL Anthology
15 years 6 months ago
Automatic Detection of Nonreferential It in Spoken Multi-Party Dialog
We present an implemented machine learning system for the automatic detection of nonreferential it in spoken dialog. The system builds on shallow features extracted from dialog tr...
Christoph Müller
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 8 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
ICML
2004
IEEE
16 years 5 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann