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IJON
2007
184views more  IJON 2007»
15 years 6 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
IWMMDBMS
1998
139views more  IWMMDBMS 1998»
15 years 7 months ago
Fusion of Multimedia Information
: In recent years the fusion of multimedia information from multiple real-time sources and databases has become increasingly important because of its practical significance in many...
Shi-Kuo Chang, Taieb Znati
COCO
2009
Springer
155views Algorithms» more  COCO 2009»
16 years 23 days ago
Weak Derandomization of Weak Algorithms: Explicit Versions of Yao's Lemma
—A simple averaging argument shows that given a randomized algorithm A and a function f such that for every input x, Pr[A(x) = f(x)] ≥ 1−ρ (where the probability is over the...
Ronen Shaltiel
STOC
2004
ACM
138views Algorithms» more  STOC 2004»
15 years 11 months ago
Know thy neighbor's neighbor: the power of lookahead in randomized P2P networks
Several peer-to-peer networks are based upon randomized graph topologies that permit efficient greedy routing, e.g., randomized hypercubes, randomized Chord, skip-graphs and const...
Gurmeet Singh Manku, Moni Naor, Udi Wieder
BMCBI
2010
126views more  BMCBI 2010»
15 years 3 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...