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IPCO
2008
114views Optimization» more  IPCO 2008»
15 years 7 months ago
The Stochastic Machine Replenishment Problem
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
Kamesh Munagala, Peng Shi
BIBE
2003
IEEE
133views Bioinformatics» more  BIBE 2003»
15 years 11 months ago
A Computational Pipeline for Protein Structure Prediction and Analysis at Genome Scale
The tertiary (3D) structure of a protein contains the essential information for understanding the biological function of the protein at the molecular and cellular levels. Traditio...
Manesh J. Shah, Sergei Passovets, Dongsup Kim, Kyl...
TSMC
1998
108views more  TSMC 1998»
15 years 6 months ago
The measurement of a design structural and functional complexity
— The complexity of a design process or a design artifact substantially influences their performance. When evaluation of terms such as “design complexity” and its “quality...
Dan Braha, Oded Maimon
FTCGV
2011
122views more  FTCGV 2011»
14 years 9 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ECML
1997
Springer
15 years 10 months ago
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
Ricardo Vilalta, Gunnar Blix, Larry A. Rendell