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ECML
2005
Springer
16 years 2 days ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 10 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
TCAD
1998
159views more  TCAD 1998»
15 years 6 months ago
Code density optimization for embedded DSP processors using data compression techniques
We address the problem of code size minimization in VLSI systems with embedded DSP processors. Reducing code size reduces the production cost of embedded systems. We use data comp...
Stan Y. Liao, Srinivas Devadas, Kurt Keutzer
IAJIT
2010
94views more  IAJIT 2010»
15 years 5 months ago
Multiple Warehouses Scheduling Using Steady State. Genetic Algorithms
: Warehouses scheduling is the problem of sequencing requests of products to fulfill several customers’ orders so as to minimize the average time and shipping costs. In this pape...
Jalal Atoum, Mamoun Al Rababaa
IJACTAICIT
2010
84views more  IJACTAICIT 2010»
15 years 1 months ago
An Improved Deadlock Prevention Strategy for FMSs Using Theory of Regions
The theory of regions has been recognized as the optimal deadlock prevention policy based on the marking/transition-separation instance (MTSI) or the event-state-separation-proble...
Yi-Sheng Huang, Yen-Liang Pan