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125
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DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 1 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
97
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PAMI
2011
14 years 6 months ago
Approximately Global Optimization for Robust Alignment of Generalized Shapes
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
Hongsheng Li, Tian Shen, Xiaolei Huang
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 1 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
LCTRTS
2007
Springer
15 years 5 months ago
Tetris: a new register pressure control technique for VLIW processors
The run-time performance of VLIW (very long instruction word) microprocessors depends heavily on the effectiveness of its associated optimizing compiler. Typical VLIW compiler pha...
Weifeng Xu, Russell Tessier
104
Voted
VLSID
2007
IEEE
210views VLSI» more  VLSID 2007»
15 years 12 months ago
Dynamically Optimizing FPGA Applications by Monitoring Temperature and Workloads
In the past, Field Programmable Gate Array (FPGA) circuits only contained a limited amount of logic and operated at a low frequency. Few applications running on FPGAs consumed exc...
Phillip H. Jones, Young H. Cho, John W. Lockwood