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Visual population codes: Toward a common multivariate framework for cell reco…
Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual are…
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- ISBN/ISSN
- 9780262303576
- Collation
- 1 online resource.
- Series Title
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- Call Number
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Independent component analysis : a tutorial introduction
"A Bradford book."Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data set…
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- ISBN/ISSN
- 9780262257046
- Collation
- 1 online resource (xviii, 193 pages) : illustrations
- Series Title
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- Call Number
- 006 STO i
Log-Linear Models, Extensions, and Applications
Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with l…
- Edition
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- ISBN/ISSN
- 9780262351607
- Collation
- 1 online resource (214 pages).
- Series Title
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- Call Number
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