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» A Model Proposal of the Interoperability Problem
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ICML
2007
IEEE
16 years 7 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
ICML
2000
IEEE
16 years 7 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
168
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EUROGRAPHICS
2010
Eurographics
16 years 3 months ago
Synthesis of Responsive Motion Using a Dynamic Model
Synthesizing the movements of a responsive virtual character in the event of unexpected perturbations has proven a difficult challenge. To solve this problem, we devise a fully a...
Yuting Ye and C. Karen Liu
ICASSP
2009
IEEE
16 years 1 months ago
Acoustic fall detection using Gaussian mixture models and GMM supervectors
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone....
Xiaodan Zhuang, Jing Huang, Gerasimos Potamianos, ...
ICSM
2009
IEEE
16 years 1 months ago
Understanding source package organization using the hybrid model
Within a large, object-oriented software system it is common to partition the classes into a set of packages, which implicitly serve as a set of coarsely-grained logical design un...
Xinyi Dong, Michael W. Godfrey