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» Wire-length prediction using statistical techniques
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NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 9 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
ISMB
2000
13 years 11 months ago
Analysis of Gene Expression Microarrays for Phenotype Classification
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
Andrea Califano, Gustavo Stolovitzky, Yuhai Tu
ARCS
2009
Springer
14 years 4 months ago
Empirical Performance Models for Java Workloads
Abstract. Java is widely deployed on a variety of processor architectures. Consequently, an understanding of microarchitecture level Java performance is critical to optimize curren...
Pradeep Rao, Kazuaki Murakami
CHI
2011
ACM
13 years 1 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
BIBE
2005
IEEE
154views Bioinformatics» more  BIBE 2005»
14 years 3 months ago
Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network
In this article we present novel preprocessing techniques, based on topological measures of the network, to identify clusters of proteins from Protein-protein interaction (PPI) ne...
Duygu Ucar, Srinivasan Parthasarathy, Sitaram Asur...