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ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Some new directions in graph-based semi-supervised learning
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 11 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
CEC
2005
IEEE
15 years 6 months ago
On the use of rule-sharing in learning classifier system ensembles
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...
ICMAS
1998
15 years 5 months ago
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Wilfried Brauer, Gerhard Weiß
IICS
2009
Springer
15 years 10 months ago
Web 2.0 as an Autopoietic System - Implications for Innovative Web-Interfaces
: The Web 2.0 can be regarded as an evolutionary process of medial differentiation. Infinite online communities are emerging and disappearing. It seems that a race has started in s...
Kathrin Vent