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ICML
2004
IEEE
15 years 11 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim
ATS
2003
IEEE
105views Hardware» more  ATS 2003»
15 years 11 months ago
Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortuna...
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. R...
ICIP
2002
IEEE
15 years 11 months ago
Speeding up SSD planar tracking by pixel selection
In this paper we present a method to estimate in real-time the position and orientation of a previously viewed planar patch. The algorithm is based on minimising the sum of square...
José Miguel Buenaposada, Luis Baumela
ICCAD
1994
IEEE
104views Hardware» more  ICCAD 1994»
15 years 10 months ago
Module selection and data format conversion for cost-optimal DSP synthesis
In high level synthesis each node of a synchronous dataflow graph (DFG) is scheduled to a specific time and allocated to a processor. In this paper we present new integer linear p...
Kazuhito Ito, Lori E. Lucke, Keshab K. Parhi
DIAGRAMS
2006
Springer
15 years 9 months ago
Evaluation of ERST - An External Representation Selection Tutor
This paper describes the evaluation of ERST, an adaptive system which is designed to improve its users' external representation (ER) selection accuracy on a range of database ...
Beate Grawemeyer