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» Simulation Optimization: Methods and Applications
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RC
2007
78views more  RC 2007»
15 years 6 months ago
Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications
Abstract. In engineering applications, we need to make decisions under uncertainty. Traditionally, in engineering, statistical methods are used, methods assuming that we know the p...
Vladik Kreinovich, Jan Beck, Carlos Ferregut, Arac...
IJCNN
2000
IEEE
15 years 11 months ago
Incremental Active Learning with Bias Reduction
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
Masashi Sugiyama, Hidemitsu Ogawa
DATE
2009
IEEE
125views Hardware» more  DATE 2009»
16 years 1 months ago
Finite precision processing in wireless applications
—Complex signal processing algorithms are often specified in floating point precision. Thus, a type conversion is needed when the targeted platform requires fixed-point precis...
David Novo, Min Li, Bruno Bougard, Liesbet Van der...
SC
2005
ACM
16 years 2 days ago
Scalable Parallel Octree Meshing for TeraScale Applications
We present a new methodology for generating and adapting octree meshes for terascale applications. Our approach combines existing methods, such as parallel octree decomposition and...
Tiankai Tu, David R. O'Hallaron, Omar Ghattas
ICMCS
2000
IEEE
70views Multimedia» more  ICMCS 2000»
15 years 11 months ago
On TCP-Friendly Video Transfer with Consideration on Application-Level QoS
When both TCP and UDP sessions co-exist in the Internet, the performance of TCP sessions easily deteriorate because of congestion incurred by UDP sessions of real-time multimedia ...
Naoki Wakamiya, Masayuki Murata, Hideo Miyahara