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» How to process uncertainty in machine learning
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ICALT
2008
IEEE
14 years 3 months ago
From 3D Virtual Museum to 3D Collaborative Virtual Workshop
In recent years, virtual museums have become more widespread and the usage of them for educational purposes has increased. They are used to facilitate educational process in diffe...
Mikhail Fominykh, Ekaterina Prasolova-Førla...
ECTEL
2007
Springer
14 years 3 months ago
Scruffy Technologies to Enable (Work-integrated) Learning
Abstract. The goal of the APOSDLE (Advanced Process-Oriented SelfDirected Learning environment) project is to support work-integrated learning of knowledge workers. We argue that w...
Stefanie N. Lindstaedt, Peter Scheir, Armin Ulbric...
CCE
2005
13 years 8 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
EMNLP
2011
12 years 8 months ago
Training dependency parsers by jointly optimizing multiple objectives
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
Keith Hall, Ryan T. McDonald, Jason Katz-Brown, Mi...
DAGM
2010
Springer
13 years 10 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen