1389 search results - page 207 / 278 » Model Combination for Machine Translation |
98
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
96
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
76
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a unified model of what was traditionally viewed as two separate tasks: data association and intensity tracking of multiple topics over time. In the data association pa...
98
Voted
HAPTICS
2010
IEEE
15 years 5 months ago
2010
IEEE
In the Turing test, a computer model is deemed to “think intelligently” if it can generate answers that are not distinguishable from those of a human. This test is limited to t...
103
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...