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» On the Complexity of Function Learning
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ICC
2009
IEEE
114views Communications» more  ICC 2009»
15 years 10 months ago
Markov Chain Minimum Bit Error Rate Detection for Multi-Functional MIMO Uplink
— In this paper, we introduce a novel Markov Chain (MC) representation aided Minimum Bit Error Rate (MBER) detection method that is applicable to an M-QAM modulated SDM/SDMA upli...
Shinya Sugiura, Sheng Chen, Lajos Hanzo
DATE
2003
IEEE
86views Hardware» more  DATE 2003»
15 years 8 months ago
Cross-Product Functional Coverage Measurement with Temporal Properties-Based Assertions
Temporal specification languages provide an efficient way to express events comprised of complex temporal scenarios. Assertions based on these languages are used to detect viola...
Avi Ziv
CW
2004
IEEE
15 years 7 months ago
Interactive Function-Based Shape Modeling for Cyberworlds
Shared virtual worlds require exchanging shape models over the Internet. Since complex shapes such as VRML objects are often defined with polygonal meshes, the size of models may ...
Konstantin Levinski, Alexei Sourin
ICSOFT
2008
15 years 4 months ago
An Architecture for Non Functional Properties Management in Distributed Computing
One of the primary benefits of Service Oriented Architecture (SOA) [1] is the ability to compose applications, processes or more complex services from other services. As the comple...
Pierre de Leusse, Panos Periorellis, Theodosis Dim...
ICML
2003
IEEE
16 years 4 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm