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IJON
2007
184views more  IJON 2007»
13 years 7 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
JOC
2000
95views more  JOC 2000»
13 years 7 months ago
Player Simulation and General Adversary Structures in Perfect Multiparty Computation
The goal of secure multiparty computation is to transform a given protocol involving a trusted party into a protocol without need for the trusted party, by simulating the party am...
Martin Hirt, Ueli M. Maurer
COMPGEOM
2011
ACM
12 years 11 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
COCO
2009
Springer
155views Algorithms» more  COCO 2009»
14 years 2 months 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
ESA
2009
Springer
149views Algorithms» more  ESA 2009»
14 years 2 months ago
Approximability of OFDMA Scheduling
In this paper, we study the complexity and approximability of the orthogonal frequency-division multiple access (OFDMA) scheduling problem with uniformly related communication chan...
Marcel Ochel, Berthold Vöcking