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NAACL
2007
15 years 8 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
NAACL
2007
15 years 8 months ago
A Geometric Interpretation of Non-Target-Normalized Maximum Cross-Channel Correlation for Vocal Activity Detection in Meetings
Vocal activity detection is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, standard vocal activity detection algori...
Kornel Laskowski, Tanja Schultz
SIMVIS
2008
15 years 8 months ago
Taxonomy and Usage Guidelines for Glyph-based Medical Visualization
In this paper we investigate glyph-based visualization techniques for the medical domain. We concentrate on both visualization as well as interaction techniques, developed for pro...
Timo Ropinski, Bernhard Preim
NIPS
2007
15 years 8 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
15 years 8 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson