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WWW
2008
ACM
14 years 8 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
CEC
2009
IEEE
14 years 2 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
HICSS
2002
IEEE
111views Biometrics» more  HICSS 2002»
14 years 10 days ago
Voice Annotation of Multimedia Artifacts: Reflective Learning in Distributed Professional Communities
This paper reports on a UK ESRC-funded project studying representations of practice, in video clips and voice annotations, for professional collaborative learning in distributed o...
Christine Steeples
ICIP
2008
IEEE
14 years 1 months ago
An automatic method to learn and transfer the photometric appearance of partially overlapping images
The first major contribution of this paper is a robust method to learn the photometric mapping between the overlapping portions of two registered images acquired either under dif...
Marco Zuliani, Luca Bertelli, B. S. Manjunath
AGI
2008
13 years 8 months ago
Cognitive Primitives for Automated Learning
Artificial Intelligence deals with the automated simulation of human intelligent behavior. Various aspects of human faculties are tackled using computational models. It is clear th...
Sudharsan Iyengar