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» Modeling spiking neural networks
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TNN
1998
100views more  TNN 1998»
14 years 11 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
ANOR
2010
97views more  ANOR 2010»
14 years 9 months ago
Quality competition for screening and treatment services
This paper examines how quality for one type of preventive health care services, screening services are determined under competition and explores its links with the treatment servi...
Evrim D. Günes, Stephen E. Chick, Luk N. Van ...
COLING
2010
14 years 6 months ago
Feature-Rich Discriminative Phrase Rescoring for SMT
This paper proposes a new approach to phrase rescoring for statistical machine translation (SMT). A set of novel features capturing the translingual equivalence between a source a...
Fei Huang, Bing Xiang
SIGIR
2011
ACM
14 years 2 months ago
Time-based query performance predictors
Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study quer...
Nattiya Kanhabua, Kjetil Nørvåg
BILDMED
2006
120views Algorithms» more  BILDMED 2006»
15 years 1 months ago
Towards Automatic Segmentation of Serial High-Resolution Images
Developing barley grains are to be visualised by a 4-D model, in which spatiotemporal experimental data can be integrated. The most crucial task lies in the automation of the exten...
Cornelia Brüß, Marc Strickert, Udo Seif...