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AAAI
2006
13 years 9 months ago
When a Decision Tree Learner Has Plenty of Time
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
DAM
2008
111views more  DAM 2008»
13 years 7 months ago
Sums of squares based approximation algorithms for MAX-SAT
We investigate the Semidefinite Programming based Sums of squares (SOS) decomposition method, designed for global optimization of polynomials, in the context of the (Maximum) Sati...
Hans van Maaren, Linda van Norden, M. J. H. Heule

Publication
173views
12 years 6 months ago
Max-Flow Segmentation of the Left Ventricle by Recovering Subject-Specific Distributions via a Bound of the Bhattacharyya Measur
This study investigates fast detection of the left ventricle (LV) endo- and epicardium boundaries in a cardiac magnetic resonance (MR) sequence following the optimization of two or...
Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punitha...
DAC
2007
ACM
14 years 8 months ago
Placement of 3D ICs with Thermal and Interlayer Via Considerations
Thermal problems and limitations on interlayer via densities are important design constraints on three-dimensional integrated circuits (3D ICs), and need to be considered during g...
Brent Goplen, Sachin S. Sapatnekar
JPDC
2006
187views more  JPDC 2006»
13 years 7 months ago
Maximum lifetime data sensing and extraction in energy constrained networked sensor systems
We focus on data gathering problems in energy constrained networked sensor systems. The system operates in rounds where a subset of the sensors generate a certain number of data p...
Bo Hong, Viktor K. Prasanna