Searching for "Linearity and Laziness." – sorted by Relevance.
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Linearity and Laziness
- Linearity and Laziness David Wakeling and Colin Runciman University of York Abstract A criticism
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From Linearization to Lazy Learning: A Survey of Divide-and-Conquer Techniques for Nonlinear
- , NO. 1, MARCH 2005 From Linearization to Lazy Learning: A Survey of Divide-and-Conquer Techniques
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NLMINO, Non-Linear Multi-Input Multi-Output Toolbox
- using an object oriented approach. Model representations for linear, Takagi-Sugeno, Mamdani, and lazy
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Efficient lazy algorithms for minimal-interval semantics
- not advance the input lists more than necessary. Previously, the only attempt at linear lazy algorithms
- Cited by 3 (2 self) – Add To MetaCart
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Recursive Lazy Learning for Modeling and Control
- by the lazy learning technique, with a control strategy based on linear optimal control theory. The local
- Cited by 3 (2 self) – Add To MetaCart
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Computational Aspects of Linear Logic
- . Linearity and laziness. In 5th Conf. on Functional Programming Languages and Computer Architecture, Lecture
- Cited by 13 (3 self) – Add To MetaCart
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Statically-allocated languages for hardware stream processing (Extended Abstract)
- are linear lazy lists. They provide an ordered, possibly infinite, list of data items, each of which can only
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State in Functional Languages - An Annotated Bibliography
- Programming, Nice, France. ACM, 1990. Superseded by [86]. [93] D. Wakeling. Linearity and Laziness. PhD thesis
- Cited by 1 (0 self) – Add To MetaCart
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Machine learning techniques to enable closed-loop control in anesthesia
- model NMSE MAE P linear 0.67 0.28 75.7 lazy 0.65 0.26 75.7 Table 1. Inverse controller. Forward
- Cited by 1 (1 self) – Add To MetaCart
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Stream Processing Hardware from Functional Language Specifications
- linear lazy lists—once an item in the list is read, it cannot be read again. This allows the input data
- Cited by 2 (0 self) – Add To MetaCart

