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» Statistical Methods for Construction of Neural Networks
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FPGA
2008
ACM
146views FPGA» more  FPGA 2008»
13 years 10 months ago
FPGA-optimised high-quality uniform random number generators
This paper introduces a method of constructing random number generators from four of the basic primitives provided by FPGAs: Flip-Flips, Lookup-Tables, Shift Registers, and RAMs. ...
David B. Thomas, Wayne Luk
INFOCOM
2007
IEEE
14 years 3 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
DATAMINE
2006
224views more  DATAMINE 2006»
13 years 8 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
COMPLEX
2009
Springer
14 years 3 months ago
Transforming Time Series into Complex Networks
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
Michael Small, Jie Zhang, Xiaoke Xu
SBIA
2004
Springer
14 years 2 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...