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ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
14 years 8 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 5 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
IICS
2009
Springer
15 years 5 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
ICML
2009
IEEE
15 years 12 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
ACE
2004
188views Education» more  ACE 2004»
15 years 14 days ago
A Computing Education Vision for the Sight Impaired
Vision is the main sensory modality employed in learning. Teaching materials in the areas of information technology and computer engineering are highly visual in nature and vision...
Iain Murray, Helen Armstrong