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208
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NIPS
2007
15 years 9 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
218
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ACL
2006
15 years 8 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
252
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IASSE
2004
15 years 8 months ago
2004
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
421
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KDID
2004
15 years 8 months ago
2004
Abstract. Database systems are islands of structure in a sea of unstructured data sources. Several real-world applications now need to create bridges for smooth integration of semi...
202
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GRAPHICSINTERFACE
2003
15 years 8 months ago
2003
We present a critique of language-based modelling for text input research, and propose an alternative inputbased approach. Current language-based statistical models are derived fr...