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CORR
2010
Springer
73views Education» more  CORR 2010»
14 years 10 months ago
Exponential Family Hybrid Semi-Supervised Learning
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/...
Arvind Agarwal, Hal Daumé III
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
14 years 8 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
ICCV
2007
IEEE
15 years 4 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 4 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
TSMC
2010
14 years 5 months ago
Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications
The cellular learning automaton (CLA), which is a4 combination of cellular automaton (CA) and learning automaton5 (LA), is introduced recently. This model is superior to CA because...
Hamid Beigy, Mohammad Reza Meybodi