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NAACL
2010
15 years 1 months ago
From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
HICSS
2011
IEEE
198views Biometrics» more  HICSS 2011»
14 years 7 months ago
Virtual Reality Meets Scrum: How a Senior Team Moved from Management to Leadership
The role of managers in a Scrum organization is a topic of high interest with almost no research. Changes in management roles and behaviors were evaluated in a rapidly growing, so...
Dina Friis, Jens Ostergaard, Jeff Sutherland
JMLR
2008
117views more  JMLR 2008»
15 years 3 months ago
Active Learning by Spherical Subdivision
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Falk-Florian Henrich, Klaus Obermayer
ICASSP
2009
IEEE
15 years 10 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
IJCNN
2008
IEEE
15 years 9 months ago
Unsupervised learning of dependencies between local luminance and contrast in natural images
Abstract— Separate processing of local luminance and contrast in biological visual systems has been argued to be due to the independence of these two properties in natural image ...
Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärine...