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» Parameterized Learning Complexity
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APIN
2002
80views more  APIN 2002»
15 years 3 months ago
Searching a Scalable Approach to Cerebellar Based Control
Decades of research into the structure and function of the cerebellum have led to a clear understanding of many of its cells, as well as how learning might take place. Furthermore...
Jan Peters, P. Patrick van der Smagt
141
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BMCBI
2004
112views more  BMCBI 2004»
15 years 3 months ago
Predicting co-complexed protein pairs using genomic and proteomic data integration
Background: Identifying all protein-protein interactions in an organism is a major objective of proteomics. A related goal is to know which protein pairs are present in the same p...
Lan V. Zhang, Sharyl L. Wong, Oliver D. King, Fred...
85
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NECO
2000
67views more  NECO 2000»
15 years 3 months ago
Formation of Direction Selectivity in Natural Scene Environments
Most simple and complex cells in the cat striate cortex are both orientation and direction selective. In this paper we use single cell learning rules to develop both orientation a...
Brian S. Blais, Leon N. Cooper, Harel Z. Shouval
124
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NPL
2000
99views more  NPL 2000»
15 years 3 months ago
On the Internal Representations of Product Units
This paper explores internal representation power of product units [1] that act as the functional nodes in the hidden layer of a multi-layer feedforward network. Interesting proper...
Jung-Hua Wang, Yi-Wei Yu, Jia-Horng Tsai
107
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MT
1998
91views more  MT 1998»
15 years 3 months ago
A Controlled Skip Parser
Real-world natural language sentences are long and complex, and always contain unexpected grammatical constructions. It even includes noise and ungrammaticality. This paper descri...
Kenji Yamada