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108
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ICML
2010
IEEE
15 years 1 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey
108
Voted
SIGCOMM
2010
ACM
15 years 28 days ago
Architecture optimisation with Currawong
We describe Currawong, a tool to perform system software architecture optimisation. Currawong is an extensible tool which applies optimisations at the point where an application i...
Nicholas Fitzroy-Dale, Ihor Kuz, Gernot Heiser
106
Voted
ICASSP
2010
IEEE
15 years 28 days ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
ICANN
2010
Springer
15 years 27 days ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
94
Voted
GLOBECOM
2008
IEEE
15 years 27 days ago
On the Capacity of One-Sided Two User Gaussian Fading Broadcast Channels
In this paper, we investigate upper and lower bounds on the capacity of two-user fading broadcast channels where one of the users has a constant (non-fading) channel. We use the Co...
Amin Jafarian, Sriram Vishwanath