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» New models and algorithms for programmable networks
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CIKM
2010
Springer
14 years 11 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
MOBICOM
2004
ACM
15 years 5 months ago
Using code collection to support large applications on mobile devices
The progress of mobile device technology unfolds a new spectrum of applications that challenges conventional infrastructure models. Most of these devices are perceived by their us...
Lucian Popa 0002, Irina Athanasiu, Costin Raiciu, ...
178
Voted
DC
2008
15 years 15 days ago
Sketching asynchronous data streams over sliding windows
We study the problem of maintaining a sketch of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in wh...
Bojian Xu, Srikanta Tirthapura, Costas Busch
EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...
109
Voted
FOCI
2007
IEEE
15 years 6 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe