8970 search results - page 255 / 1794 » Learning to Learn Causal Models |
134
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SDM
2004
SIAM
15 years 7 months ago
2004
SIAM
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
181
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FGR
2004
IEEE
15 years 9 months ago
2004
IEEE
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
177
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MSOM
2007
15 years 5 months ago
2007
: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often co...
163
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
166
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...