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ICONIP
2009
13 years 7 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...
CORR
2010
Springer
91views Education» more  CORR 2010»
13 years 4 months ago
Switching between Hidden Markov Models using Fixed Share
In prediction with expert advice the goal is to design online prediction algorithms that achieve small regret (additional loss on the whole data) compared to a reference scheme. I...
Wouter M. Koolen, Tim van Erven
TSMC
2011
292views more  TSMC 2011»
13 years 4 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
JCHE
2010
120views more  JCHE 2010»
13 years 4 months ago
The virtual campus of the future: stimulating and simulating civic actions in a virtual world
This paper presents a pre-orientation program for incoming college students, Active Citizenship through Technology (ACT), that engaged students in civic dialogue early in their aca...
Marina Umaschi Bers, Clement Chau
ICASSP
2011
IEEE
13 years 29 days ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...